This is a searchable catalogue of AI tools used in governments. It is based on the Public Sector Tech Watch dataset of digital tools used in the EU, which we curated to focus on AI tools and the applications that we thought were most relevant to South Africa. We will update this document as we find new global applications of AI in government that we think are relevant to South Africa, and the last update was in November 2024. The methodology and code used in compiling this data is described in our git repository, as well as a brief discussion of its limitations.
More responsive, efficient, and cost-effective public services
New services or channels
Improved Administrative Efficiency
Cost-reduction
Responsiveness of government operation
Improved management of public resources
Increased quality of processes and systems
Better collaboration and better communication
Reduced or eliminated the risk of corruption and abuse of the law by public servants
Enabled greater fairness, honesty, equality
Open government capabilities
Increased transparency of public sector operations
Increased public participation in government actions and policy making
Improved public control and influence on government actions and policies
Source
AI Classification (I)
AI Classification Subdomain (II) (main)
AI Classification Subdomain (II) (Other I)
AI Classification Subdomain (II) (Other II)
AI Classification Subdomain (II) (Other III)
AI Keywords
Date-updated
ID
Name
Website
Description
Geographical extent
Geographical coverage (country)
Geographical coverage (NUTS 2021)
Responsible Organisation
Responsible Organisation category
COFOG Level I
COFOG Level II
Status
Start Year
End Year
Process type
Application type
Cross Border
Cross Sector
Technology
Interaction
Improved Public Service
Personalised Services
Public (citizen)-centred services
Increase quality of PSI and services
More responsive, efficient, and cost-effective public services
New services or channels
Improved Administrative Efficiency
Cost-reduction
Responsiveness of government operation
Improved management of public resources
Increased quality of processes and systems
Better collaboration and better communication
Reduced or eliminated the risk of corruption and abuse of the law by public servants
Enabled greater fairness, honesty, equality
Open government capabilities
Increased transparency of public sector operations
Increased public participation in government actions and policy making
Improved public control and influence on government actions and policies
Source
AI Classification (I)
AI Classification Subdomain (II) (main)
AI Classification Subdomain (II) (Other I)
AI Classification Subdomain (II) (Other II)
AI Classification Subdomain (II) (Other III)
AI Keywords
Date-updated
PSTW-600
Oodi's book recommendation service Obotti
Obotti is Central Library Oodis recommendation chatbot. The service recommends books from Oodis selection according to the customers interest and feedback. The service is aimed at all Central Library Oodis customers and can be downloaded as a mobile application for Android and IoS devices. The service recommends books to the customer based on contextual analysis that the customer would not otherwise find. The purpose of the service is to present the material available in Oodi library to customers interestingly and to make it easier for customers to find interesting and new material. The recommended materials are freely available in the selections of the Central Library Oodi at the time of the recommendation. The service is divided thematically into six chatbots, each recommending content according to their theme. You can ask the service for recommendations using ready-made answer options, or in free search terms in the form of text or speech. The service utilises contextual analysis of natural language to determine the customer’s interests, as well as to produce corresponding book recommendations.
Local
Finland
FI1B
Helsinki Central Library Oodi
Local Government
Recreation, culture and religion
Cultural services.
Implemented
2.019
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
IPSO DB
Communication
Natural language processing
Automated reasoning
Searching
chatbot
01/01/1970
PSTW-601
ChatBot Botty Bonn
The chatbot received a new technical basis and will be set up in a live and developer environment. As a community offer, the chatbot is then freely available as an open platform for all interested co-developers. All municipal service information will be available in the chatbot by the end of the year. The previous expert bots will then also be taken over. The technical basis and server hosting is financed and operated by the City of Bonn and GovBot. That's why no one has to worry or invest anything themselves. The developer environment is ready and will be further expanded in the coming months.
Local
Germany
DE
City of Bonn
Local Government
General public services
General public services n.e.c.
Implemented
2.017
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
IPSO DB
Communication
Natural language processing
Searching
AI Services
chatbot
01/01/1970
PSTW-602
Noa - chatbot
Noa's chatbot "Guidaci in l'Amministrazione" is a public service accessible online to guide start-ups in their administrative processes.
Regional
France
FR
Prefecture de l'Ile de France
Regional Government
General public services
General public services n.e.c.
Implemented
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
IPSO DB
Communication
Automated reasoning
Natural language processing
AI Services
chatbot
01/01/1970
PSTW-603
Bobbi - Berlin administration
The state of Berlin already offers convenient solutions with the ServicePortal and the citizen hotline 115 for citizens' requests. The chatbot “Bobbi” can serve as an additional channel to help citizens quickly and conveniently with their concerns, even outside of 115 service hours.
Local
Germany
DE
City of Berlin
Local Government
General public services
General public services n.e.c.
Implemented
2.014
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
IPSO DB
Communication
Natural language processing
Knowledge representation
AI Services
chatbot
01/01/1970
PSTW-637
Whatsapp InfoCenter City of Milan (020202)
The municipal administration activated a virtual assistant that indicates a series of options to choose from to obtain an immediate response: Citizenship support services; Resumption of economic activities; Public services and places of worship; Permitted transfers; Viability and parking; People with disabilities; Help the city of Milan; Health information; Decrees, ordinances and circulars.
Frag-den-Michel! Innovativer Online-Bürgerservice in Betrieb
Citizens can ask questions to the Hamburg authorities regardless of normal business hours. Frag-den-Michel is a text-based dialogue system – a so-called chatbot – which is available for general information as part of a test operation. Frag-den-Michel will supplement the telephone information under the central authority number.
The Municipality of Oslo explores chatbots to respond to citizen requests
Working collaboratively, Oslo and Capgemini created an interdisciplinary team to develop proof of concept solutions. Beginning with the internal automated chatbot interface, the team tested the solution by having the municipality employees ask the robot to confirm their employment via chat. If successful, the request triggered the generation of a confirmation document through an existing automated process and then delivered final confirmation in the chat window as soon as resources were available.
The City of Vienna website provides comprehensive, detailed content, while the WienBot is all about information for immediate use. People looking for specific information while out and about need a different kind of content to those accessing the web from home. The WienBot is aimed at an audience that wants a smart way of consuming information quickly and on the go, but without foregoing the personal component. The chatbot can also reply in proper Viennese dialect.
Local
Austria
AT
City of Vienna
Local Government
General public services
General public services n.e.c.
Implemented
2.018
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://www.wien.gv.at/bot/
Communication
Natural language processing
Searching
AI Services
chatbot
01/01/1970
PSTW-650
London TravelBot
Transports for London created an automated service on Facebook Messenger to help you check the status of your Tube, rail or bus route. The service is free and uses latest data. The status checker is available for all Tube lines, DLR, London Overground, TfL Rail, trams and all bus routes. It can be used on Facebook Messenger.
Virtual Digital Assistant with the Revenue Commissioners of Ireland
The virtual assistant uses voice-processing technology to recognize and respond to phone queries about tax clearance certificates and, in some cases, to process applications for those certificates. The pilot is testing the applicability of voice-driven virtual assistants in successfully answering general information questions and simple requests that are made to Revenue over the phone.
The project “Sibyl A.I. Virtual ", funded through a PIA call dedicated to small businesses by the Puglia region, under the POR FESR fund, aims to create a digital platform with virtual assistance to support the interaction between the institution and citizens.
Artificial Intelligence: high technology and innovation to make life easier for citizens
The new chatbot service - developed by Insiel SpA and co-financed by the Friuli Venezia Giulia Region - will debut on the website of the Municipality of Trieste at the beginning of 2020. In the first phase it will concern demographic services and will allow citizens to request information from the Municipality and receive answers in real time.
Caterina, the first (virtual) municipal employee for identity cards and changes of residence
Caterina is the first virtual employee and her task will be to make the life of the Sienese easier thanks to the use of artificial intelligence. Young and old, therefore, will be able to contact you to obtain an identity card, change residence, renew the electoral card and complete other administrative procedures. Citizens residing in Siena, therefore, will be able to avoid long queues and stay comfortably at home to deal with those that sometimes are nothing more than boring paperwork.
Chatbot to support citizen in assistance on Citizen Public Registry service and Separate Waste Collection service
Local
Italy
ITC11
Collegno Municipality
Local Government
General public services
General services.
Implemented
2.021
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://www.comune.collegno.to.it/home
Communication
Natural language processing
Machine learning
AI Services
chatbot
01/01/1970
PSTW-878
La Paula i la Rita - the chatbot assistants in the authentication processes in Catalunya
This first half of 2021, the AOC has launched two pilots of conversational bots with the intention of validating their usefulness and gaining experience. Paula was activated on the VÀLid identification page, where all users who have to validate their identity in a transaction go through; Rita was activated on the idCAT Certificate application and management page. In the months that our chatbots have been active, they have supported more than 93,400 people, with a response rate of 96%, in a total of 96,500 conversations. In comparison with traditional human support, although the complexity of the consultations is not comparable, in 2020 the agents of the AOC's user support centre attended to a total of 63,000 support requests.
The Maltese government has recently implemented artificial intelligence (AI) technology to improve its public services. One of the most notable applications of AI in the public sector is the use of chatbots for customer service in government agencies. In this context, the servizz.gov’s Chatbot offers horizontal collaboration with Ministries and economies of scale through delivery of autonomous digital interaction. Powered by a rule-based mechanism with an FAQ source and machine learning incremental process, user ‘intents’ are captured to train the model and improve bot answers through iteration and feedback. servizz.gov will continue developing its current chat infrastructure into a fully-fledged citizen chatbot, extending its knowledge base but also capable of integrating with third party systems.
Chatbot LinA: the chatbot that answers general inquiries in the field of motor vehicle tax and customs law
A live chat has recently been made available to citizens and companies for questions about motor vehicle tax. This is a written online communication in real time with employees of the central information vehicle tax of the customs. The live chat is integrated into the "LinA" chatbot, which is available to you around the clock for digital information on motor vehicle tax. When using the chatbot, you can start the live chat by clicking on the "Start live chat" button during the service hours.
National
Germany
DE
General Customs Directorate
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.022
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
Bendszusn, R. (2022). Make-or-buy in the area of Artificial Intelligence: Insights from AI use cases in the German public sector (master's thesis). Hertie School, Berlin.
Communication
Natural language processing
AI Services
chatbot
08/07/2023
PSTW-929
Chatbot ViOlA for the homepage of the german Federal Central Tax Office
Chatbot ViOlA answers questions of general type and does not advise users on tax matters.
National
Germany
DE
Federal Central Tax Office (BZSt)
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.022
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
Bendszusn, R. (2022). Make-or-buy in the area of Artificial Intelligence: Insights from AI use cases in the German public sector (master's thesis). Hertie School, Berlin.
Communication
Natural language processing
AI Services
chatbot
08/07/2023
PSTW-983
Chatbot launched in the occasion of the 2021 Federal Elections
The election bot is an offer from the Fedral Agency for Civic Education (BpB). The chatbot provided information on topics such as the procedure in the polling station, the structure of the electoral system or what needs to be considered before the election. With a quiz, users could test their knowledge of the voting system. The BpB has prepared the diverse information within selected main topics and entered it into the dialogue system. It was also used to promote understanding of political issues in connection with the federal election.
National
Germany
DE
Federal Agency for Civic Education (BPB)
Central-Government
General public services
General services.
Implemented
2.021
2021
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
Bendszusn, R. (2022). Make-or-buy in the area of Artificial Intelligence: Insights from AI use cases in the German public sector (master's thesis). Hertie School, Berlin.
Communication
Natural language processing
AI Services
chatbot
01/01/1970
PSTW-1003
InA– The Chatbot at the Office of Integration
The Office of Integration of the Ministry for Social Affairs, Health, Family, Youth, and Senior Citizens integrated a chat bot into its website in February 2020. This chat bot is being further developed in a follow-on project. Using the chat bot, people can call up general information, arrange for callbacks, and determine time windows for contact purposes. It is also possible to use the chat bot to submit an initial application for accompanying assistance.
Regional
Germany
DEF0
Office of Integration of the Ministry for Social Affairs, Health, Family, Youth, and Senior Citizens of Schleswig-Holstein
Regional Government
Social protection
Social protection n.e.c.
Implemented
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
Bendszusn, R. (2022). Make-or-buy in the area of Artificial Intelligence: Insights from AI use cases in the German public sector (master's thesis). Hertie School, Berlin.
Communication
Natural language processing
AI Services
chatbot
01/01/1970
PSTW-1043
LAIban - A chatbot for children
The City of Helsingborg uses LAIban in the municipal day care centres, responding to childrens’ daily questions about meals, playtime, pick-up times and more. It is designed to complement the teachers’ role, enabling children to develop independently. LAlban is used in all 80 public preschools in Helsingborg. To ensure inclusion of and for children, children have been directly included in the design process for LAlban’s applications and updates. For instance, children often ask the AI chatbot new questions and offer suggestions on additional features, enabling designers to update LAlban with abilities and insights that are useful for the primary users. LAlban also uses up-to-date data on the demographics of its users to help provide answers in a variety of languages so that no child risks being excluded. The chatbot understands and can formulate responses in Swedish, Arabic, English, French, Russian, Turkish, Spanish, Mandarin, Japanese, Danish and Finnish. To provide transparency, explainability, and accountability for children, LAlban is programmed to explain to children what an AI chatbot is.
Milli is an AI-powered chatbot that helps adolescents in Finland learn about mental health issues. Milli is the result of collective research between interdisciplinary experts and practitioners (psychologists, mental health experts, nurses, AI and design engineers), and has been designed to continuously improved through an iterative and inclusive process involving users. Milli fields 500-1,200 queries weekly. It allows users to anonymously ask questions about the mental health issues they may be facing, then connects them with mental health information or medical providers. The chatbot has been trained to discern between adolescent and adult users and tailors its responses accordingly. Milli can also ascertain if a user is experiencing a health emergency, for instance, situations of self-harm, and effectively directs the user to reach out to emergency services, authority figures or trusted adults – depending on the severity of the situation. Furthermore, if users enter any identifying information, Milli automatically deletes it. This ensures that children’s data and privacy are secure. Also committed to transparency and accountability, Milli provides detailed responses if a user enquires about how their data is used, while explaining how their messages are stored anonymously to support the development of the app. It also offers detailed explanations on how AI works, who developed the chatbot, and how it learns through each discussion. In the future, the team behind Milli hopes to focus on prioritizing fairness and non-discrimination by ensuring the virtual assistant meets European Union accessibility requirements, as well as rolling out gender-sensitive content and vocabulary.
The Digital Assistant (Chatbot) is an innovative tool available 7/24, that supports citizens looking for information related to all the administrative services offered on the institutional portal of the city of Rimini. Using a chat window it is possible to talk with the digital assistant, asking it questions and requests, obtaining information, assistance and support. The digital assistant was designed following the principles of conversational design in order to ensure an interaction experience that is as natural and intuitive as possible. Thanks to the use of artificial intelligence (AI) technology and deep learning algorithms, the Digital Assistant is able to understand user requests more and more precisely by answering an increasing number of questions.
In this way, citizens who need to use the Municipality services, is supported and made autonomous in the search for information and in accessing the services themselves. The continuous availability and speed of response of the Digital Assistant allow to take advantage of a complementary channel than traditional ones (e-mail, telephone, physical counter ...) thus also lightening the workload of the operators.
Hello Charly - AI chatbot assisting students making decisions
Called Hello Charly, this chatbot is following the trend for mobile messaging, inviting secondary school students to chat with it from a dedicated site, but also via the chatbots available on TikTok, Snapchat and Instagram. The idea here is to have access to a contact available 24 hours a day, since it is an artificial intelligence that aims to offer a personalised dialogue. For Hello Charly, the idea is to chat completely anonymously, and there's no need to register to start the conversation. The robot will then invite you to choose different answers to its questions or to write down or explain your plans, and it always starts by getting to know you better in order to understand your personality. In all, more than 850 professions are listed and 110,000 different training courses are offered, to cover all the needs of 14-24 year-olds. High-school students will be able to draw up a scorecard to help them see their plans more clearly, while the chatbot will also answer various questions. The Hello Charly start-up, which specialises in Edtech (education-related technologies), was a winner of the government's Programme d'investissement d'avenir project. It points out that its chatbot has been used by more than 220,000 people in France since it was created in 2016.
Chatbot that uses AI technology to answer questions from citizens. The technology is not developed by NAV, it is delivered by boost.ai
National
Norway
NO
NAV IT
Central-Government
Social protection
Social protection n.e.c.
Implemented
2.018
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://data.norge.no/kunstig-intelligens
Communication
Natural language processing
AI Services
chatbot
01/01/1970
PSTW-1291
Helsinki chatbot
Helsinki chatbot is a 24-hour customer service channel of the City of Helsinki information website, aimed at improving the accessibility of customer service and the customer experience. The service provides relevant information to each customer’s specific questions faster than by searching for the information on the website. In the initial phase, the chatbot will implemented within the Sports and Recreation related pages. For instance, the chatbot will answer questions related to sports facilities and services. The service will work based on the trained rule-based discussion paths and the question-answer pairs determined by specialists from Helsinki City Information and thematic experts.
Local
Finland
FI1B
City of Helsinki
Local Government
General public services
General services.
Implemented
2.023
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://gouai.cidob.org/atlas/
Communication
Natural language processing
AI Services
chatbot
08/07/2023
PSTW-1307
Chatbot for rental apartment search
The rental apartment search chatbot is a 24-hour customer service channel of the City of Helsinki housing services aimed at improving the accessibility of customer service. The service provides relevant information to each customer’s specific questions realted to finding housing in the city, faster than by searching for the information on the website. The chatbot responds based on the trained rule-based discussion paths and the question-answer pairs determined by rental apartment search experts. The service also increases efficiency by enabling the automation of frequently asked questions.
Local
Finland
FI1B
City of Helsinki
Local Government
Housing and community amenities
Housing and community amenities n.e.c.
Implemented
2.022
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://gouai.cidob.org/atlas/
Communication
Natural language processing
AI Services
chatbot
01/01/1970
PSTW-1341
Chatbot Munich
The IT-Department of the municipality of Munich is developing a chatbot for Munich which is supposed to complete the current services like the common emergency number 115, the service portal and mobile apps.
DB Smile - the national railway service chatbot for job seekers
Thanks to artificial intelligence (AI), the DB Smile chatbot can find suitable jobs, provide answers to almost all questions relating to a job application, and now even accept job applications via chat, making the entire process easier and quicker.
The chatbot of the Federal Employment Agency answers general questions on many topics, including unemployment benefits, short-time allowance, child supplement, child support and training & studies.
National
Germany
DE
Federal Employment Agency
Central-Government
Social protection
Unemployment.
Implemented
2.023
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://www.arbeitsagentur.de/
Communication
Natural language processing
AI Services
chatbot
01/01/1970
PSTW-1358
Chatbot Guido
Chatbot Guido answers questions related to online business registration procedures.
Talbotti - Helsinki's financial management service chatbot
Talbotti is an electronic contact channel introduced by the City of Helsinki’s financial management service. The purpose of Talbot is to improve and increase customer contact opportunities, also outside customer service hours. Chatbot answers questions around the clock and offers, within the opening hours, the possibility to transfer to live chat to continue the conversation with a customer advisor. The new contact channel enables self service for customers and also advises, provides up to date information, links to websites and speeds up the search for information for residents and city employees. The chatbot learns from the data collected in customer service and it can answer most common questions related to invoicing and financial management services.
Local
Finland
FI
City of Helsinki
Local Government
General public services
General public services n.e.c.
Implemented
2.023
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://ai.hel.fi/en/talbotti-en/
Communication
Natural language processing
AI Services
chatbot
04/10/2024
PSTW-1378
Sotebotti hester
Sotebot Hester is a chatbot for social services, health care and rescue services division.
Local
Finland
FI1B
City of Helsinki
Local Government
General public services
General public services n.e.c.
Implemented
2.023
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://ai.hel.fi/en/sotebotti-hester-en/
Communication
Natural language processing
AI Services
chatbot
09/05/2023
PSTW-1385
Chatbot - Municipality of Senigallia
This chatbot was introduced on the official website of the Municipality of Senigallia to answer general enquiries from citizens.
Chatbot - Training, Guidance and Employment Agency Monza and Brianza
This chatbot was introduced on the official website of the Training, Guidance and Employment Agency of Monza and Brianza to answer general enquiries from citizens.
Local
Italy
ITC4
Training, Guidance and Employment Agency Monza and Brianza
This chatbot was introduced on the official website of the Chamber of Commerce of Reggio Emilia to answer general enquiries from citizens and businesses.
One of the milestones in this process of innovation and commitment to new channels is the creation of 'Arantxat', a virtual tourist guide developed under a chatbot system available for whatsapp that includes all the information flows that have been collected from the most common queries received in tourist offices.
TreC Mamma is a digital appintegrated with a digital personal assistant that allows mothers to use chatbots to gather information on pregnancy and childcare.
Hillingdon Council praised for innovative approach to safeguarding children
With PwC and Amazon’s support, in only a three month period, Hillingdon became the first UK local authority to have deployed an automated voice and web chat solution at scale.
Chatbot on the official website of the National Centre of Audiovisual Media and Communication answering general enquiries.
National
Greece
EL
National Centre of Audiovisual Media and Communication
Central-Government
Recreation, culture and religion
Broadcasting and publishing services.
Implemented
2.023
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://www.ekome.media/who-we-are/
Communication
Natural language processing
chatbot
01/01/1970
PSTW-1651
Kuusamo Municipality experiments with Kuusamo-Kati chatbot for tourism and health questions
The AI-enabled bot is activated on the city's website when live support is unavailable on weeknights and weekends. The bot was initially programmed with knowledge about the website's most frequently searched topics. Residents and tourists contribute to Kuusamo-Kati's development through conversations as well as feedback forms. Municipal leaders will expand the chatbot into other topics based on lessons learned during the summer pilot.
Järvenpää is piloting Kunta-Kati the AI chatbot as its new customer service representative
The City of Järvenpää partnered with Accenture and Boost.ai to pilot a "fixed-term employment relationship" with Kunta-Kati acting as the city's new customer service representative. Kunta-Kati uses artificial intelligence to understand urban issues and answer questions about the city. Whenever she is unable to answer a question Kunta-Kati directs the users to ask their question directly to the city's customer service staff.
Borås Municipality assesses AI chatbot improvements to customer service during pilot
An AI-enabled chatbot named Kommun-Kim offers virtual assistance to website visitors during the six-month pilot. The bot started with answers to frequently asked questions noted by municipal staff. Kommun-Kim improves its knowledge base with each interaction and refers users to customer service as necessary. Borås will evaluate the quality of user experiences when considering how the bot will be used in the future.
Derby City Council connects residents to city services with AI-powered digital assistants
Since April visitors to Derby City Council’s website and those who call the council’s main phone line can seek help and assistance from AI “helpers”. Darcie can help with council services and Ali is available to help Derby Homes customers with housing enquiries. Senior bosses at the council delivered a presentation at the meeting and said the use of AI technology since April has already met a savings target of £200,000 within the council’s budget plan. They said the main goal is trying to allow residents to access council services all in one place.
The chatbot replies to general enquiries from citizens in relation to social policies, such as the "bonus trasporti" (Italian citizens could apply for a cash benefit of maximum 60 euros to buy transportation monthly passes).
Multiple chatbots on the spanish Agenzia Tributaria website
In this section users can find a whole set of virtual assistance tools for Personal Income Tax, Censuses, VAT, SII and Collection, made up of virtual assistants, Informants, Income Tax and Censuses, search engines for economic activities, Locators of operations for the delivery of goods and provision of services. services, real estate transaction qualifier, calculators for payment terms, billing, late payment interest, modification of tax bases, and finally aid for the preparation of VAT models 303 and 390.
National
Spain
ES
Agencia Tributaria
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Chatbot for general enquiries on the municipality website.
Local
Sweden
SE
Vaxjo Kommun
Local Government
General public services
General services.
Implemented
2.024
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://www.vaxjo.se/
Communication
Natural language processing
chatbot
01/01/1970
PSTW-1802
Chatbot alicante
Chatbot on the municipal website answering to general enquiries
Local
Spain
ES
Suma Gestión Tributaria. Diputación de Alicante
Local Government
General public services
General public services n.e.c.
Implemented
2.024
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://www.suma.es/
Communication
Natural language processing
chatbot
01/10/2024
PSTW-2087
Implementation of AI chatbot to guide the compilation of UNIEMENS flows
The aim of the project is to develop an AI-based chatbot that can support employers and intermediaries in the correct compilation of UNIMENS, a compulsory report sent monthly to INPS by private sector employers which act as tax substitutes. The aim is to provide guidance on compilation, rules, reference regulations and underlying controls in order to improve transparency, guide the user in information and operational activities and reduce compilation errors.
National
Italy
IT
INPS
Central-Government
Social protection
Social protection n.e.c.
Planned
2.024
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2B
x
x
x
x
x
x
DIRETTIVA DEL DIRETTORE GENERALE N. 8 DEL 8 aprile 2024
Communication
Natural language processing
AI Services
chatbot
05/08/2024
PSTW-1456
Virtual Assistant based on generative AI at INPS
INPS has recently launched an experiment with the objective to integrate within the INPS Virtual Assistant the same 'Large Language Model' (LLM) algorithm at the basis of ChatGPT, thanks to the collaboration of Microsoft Azure with OpenAI. The aim is to offer increasingly accurate answers to citizens of certain services such as the 'Opzione Donna' pension scheme and other services.
Just - virtual assistant of the State Unitary Computerized Land Book
At the end of 2019, the Court Administration introduced a virtual assistant into the Land Register portal. The assistant named Justs (from the word justīcija, ‘justice’) helps people find their way around the services offered by the Land Register.
Aylesbury Vale District Council (AVDC) is the first local authority in the UK to launch a skill for Amazon’s voice-controlled Alexa. Residents can ask for various information, including: who are the political leaders of the council, council tax payment options, and what items can go in recycling bins. There is also an option to book assisted waste collections.
The UK Government’s Driving License and Vehicle Authority (DVLA) has deployed a voice-based service (Alexa skill) for stating when a citizen’s vehicle tax and MOT (motor technical test) is due.
HM Revenue and Customs (HMRC) launched new and innovative technology to help more than 3 million customers renew their tax credits. HMRC has developed a customer-focused service through Amazon Alexa specifically for those seeking help with their tax credits renewals.
National
United Kingdom
UK
Her Majesty’s Revenue & Customers
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
SEMMI Avatar is an advanced, lively and user-friendly human-machine interface which complements customer service. Operating on the SEMMI Conversational AI, SEMMI Avatar leverages display hardware to deliver a novel, multimodal experience for users. With only a minimum of requirements, SEMMI Avatar can be used on existing or new hardware, outdoor or indoor, with or without touchscreen and completely responsive on any screen size and format.
This digital platform gathers single APIs provided by public or private providers. L’ambiente si basa su una personalizzazione (realizzata da Aria S.p.A) di Open 2.0, l’applicativo open source messo a disposizione da Regione Lombardia per la creazione di strumenti collaborativi. Multiple services are available, from health care unit availability in regional hopsitals to parking availability.
The Flemish public employment service reinvents orientation tests with AI
VDAB, the Flemish public employment service, worked together with Radix, a Belgium-based company providing AI tools, to update and streamline its orientation test by making use of machine learning. Orient 2.0, a digital and AI-supported tool that creates a personalised orientation test and uses machine learning to predict professional interests.
The Project "Decoding the Legislation" intended to develop Artificial Intelligence tools for facilitating consultation by citizens. Repositories were implemented with data sources and metadata from the Diário da República Eletrónico (DRE) and, using natural language processing, the legal attributes are transformed into code language, and a web application was developed that allows intelligent queries to a given Law. The case studies chosen to test the AI tools are the Consumer Rights Legislation and the Retirement Statute. A proof of concept was carried out in which the DRE has an intelligent search mechanism in which Citizens can ask questions about these sets of legislation and get answers automatically.
Automatically Assessing and Improving the Readability of Municipal Communication
According to recent research, 16% of the people between 16 and 65 in Amsterdam have low literacy skills. This hinders societal participation in tasks such as voting, paying taxes, reissuing documents, or applying for social benefits. Thus, as part of "Amsterdam for All" project, the City of Amsterdam set on a mission to research the use of AI for measuring and improving the readability of municipal communication, using an innovative methodology for contextualized lexical simplification, which means substituting complex words within the context of a sentence with more accessible ones.
Local
Netherlands
NL32
City of Amsterdam
Local Government
Social protection
Sickness and disability.
In development
2.023
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://gouai.cidob.org/atlas/
Communication
Natural language processing
01/01/1970
PSTW-1912
Better Reykjavik
Better Reykjavik is a collaborative initiative between the Citizens Foundation, Reykjavik City, and its residents, aimed at fostering connection, trust, and policy improvement within the community. Serving as a platform for crowdsourcing solutions to urban challenges, it incorporates various democratic functions such as agenda setting, participatory budgeting, and policymaking. The platform uses artificial intelligence and machine learning. Unique features include a distinct debating system, crowd-sourcing capabilities, submission of multimedia content, and extensive utilization of artificial intelligence to enhance user experience and improve submitted content.
Generative AI Transformation Project with Derby City Council and ICS.AI
ICS.AI, a leader in UK public sector AI transformation, accounced its expanded partnership with Derby City Council in an innovative £7 million AI project. This 4-year initiative, launching in 2024, is a pivotal advancement in the Council's strategy, deploying the power of generative AI to transform customer service operations. Across Customer Services, the capabilities of Darcie and Ali, the two digital assistants, will be extended to become generative AI copilots, further streamlining the Council's customer service, and allowing for more complex and nuanced interactions with residents.
Dublin City Council and OpenAI Announce Partnership to Show the Potential of AI to Support Europe’s Tourism Industry
Co-development of a Dublin Itinerary Planner Proof of Concept “A Day in Dublin”: Leveraging the advanced capabilities of GPT-4, this innovative tool will showcase how bespoke travel recommendations can make Dublin's rich cultural heritage and vibrant city life more accessible to visitors. This prototype has been designed to show the potential of generative AI to support unique, bespoke experiences for visitors instead of generic to-do lists.
Central Bohemian Region to test on-demand public transport
Establishing an innovation partnership to design and deliver a system supporting the optimization of the settings of the transport service system in public transport. The system will use multi-source data aggregation, including big data and access for processing. The partner will develop the system based on the minimum technical conditions specified by the contracting authority.
Nantes Métropole guarantees accessibility to water for all with a single tariff applied in the 24 municipalities of the conurbation. Social Water pricing allows some households not to devote more than 3% of their income to the water bill. Nantes Métropole has developed an algorithm that determines eligibility for aid for drinking water. This algorithm concerns the declarative component of social water pricing which targets very specific beneficiaries. The calculation of this aid takes into account household income and family composition. Users make their request at the town hall. The agents collect their supporting documents and enter the information required by the algorithm in software developed by Nantes Métropole (Deltas software). Users are immediately notified of the result by the agent at the town hall.
Nantes Métropole developed an algorithm that determines eligibility for a partial or absolute reduction on travel expenses on the Nantes metropolitan transport network. The calculation of this aid takes into account household income and family composition. Users make their request at the town hall. The agents collect their supporting documents and enter the information required by the algorithm in software developed by Nantes Métropole (Deltas software). Users are immediately notified of the result by the agent at the town hall.
IDDEAS - Individual Digital Decision Assist System for Child and Adolescent Mental Health
IDDEAS stands for "Individualized Digital Decision Assist System", which can be translated into individualized digital decision support system in Norwegian. IDDEAS is a KBSS under development, which initially targets children and young people with attention deficit hyperactivity disorder (ADHD). ADHD accounts for 29% of mental disorders among young people in Norway, and the disorder can persist into adulthood. Without the right treatment, ADHD can cause dramatic social and medical challenges that affect both the individual, the family and society. The IDDEAS project will provide evidence-based support to Norwegian healthcare personnel. The purpose is to improve the available specialist health services for children and young people. IDDEAS focuses on prevention, early diagnosis and early intervention, as well as treatment and follow-up of patients with ADHD. The system will adapt available data to the patient's needs and provide the patient with an optimized and evidence-based survey and follow-up. IDDEAS is therefore designed to improve clinical outcomes.
Regional
Norway
NO
Central Norway Regional Health Authority
Regional Government
Health
R&D health.
Pilot
2.018
2023
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://data.norge.no/kunstig-intelligens
Learning
Machine learning
Natural language processing
decision support
07/11/2023
PSTW-1582
Amsterdam's IBEACON LIVING LAB - First beacon-guided city walk
Amsterdam's Beacon Mile is the world's first beacon-guided city walk designed to inform tourists during their exploration of the city. Designed to serve as an open and public test environment for beacons and LoRa-enabled sensor beacons, the initiative is a joint project of Glimworm and KPN, who are aiming to kick-start the capital city's Internet of Things economy.
Local
Netherlands
NL32
City of Amsterdam
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Jelbi - the mobility app for Berlin's public and sharing services
The Jelbi project links BVG (Berlin Transport Authority) services in Berlin with other mobility providers. At various points in Berlin, vehicles based on the sharing principle, such as scooters, bicycles, cars or scooters, are available to customers. These offers can be seen, rented and paid for via the free Jelbi app. In this way, an individually suitable combination of means of transport can be found for every route through the city - whether by train, bus, e-scooter, rental bike or car.
Madrid Mobility 360 (multimodal planner for urban commuting)
Madrid Mobility 360 is a mobile application that allows citizens to move around the city and calculate the most efficient route between all modes of transport in the capital (public transportation, carsharing and bicycles). It includes a powerful route planner, which estimates current and future journey times, and provides the real-time capacity on specific buses. The app allows payment for various methods of transport and reports the CO2 emissions generated.
Local
Spain
ES30
Empresa Municipal de Transported del Ayuntamiento de Madrid
“Demenzwegweiser-SH” (Schleswig-Holstein Guide to Dementia)
“Demenzwegweiser-SH” (Schleswig-Holstein Guide to Dementia) is a database that is updated using only artificial intelligence. The guide to dementia provides information about the disease and regional counseling centers, specialist doctors, forms of living and care, and all further offerings. Additionally, it provides concise information on nursing care insurance, legal support, selected therapies without the use of medication, and general information on the topic of dementia.
Regional
Germany
DEF0
Ministry of Social Affairs, Youth, Family, Senior Citizens, Integration and Equality of Schleswig-Holstein
The objective of this research project is to capture and preserve individual case histories using novel technology for integrating temporal interpretation of clinical text with structured data; to establish knowledge and decision support for individualized, real-time, infection and sepsis monitoring and to demonstrate a clinical dashboard extending the computerized chart for process monitoring and patient risk mitigation. Indirectly, it also improves interventions and reduce drug resistance.
Using the AuroraAI service model, organisations from various sectors of society will create a snapshot of well-being to support human-centric activities and knowledge-based management. In finding, allocating and proactively steering services, the model will make use of the decentralised and open network created by artificial intelligence and smart applications. The model will lead changes in the authorities’ operational model and will support these changes by implementing an ethically functioning artificial intelligence network, which will help to allocate the services correctly. In addition to implementing this AI network, the human-centric operations model will be adopted in the case of selected life events, run by the organisations in charge and supported by the AuroraAI support team.
Using artificial intelligence, the AuroraAI network will make it possible to allocate the current, partly silo-like supply of services in a timely manner to citizens or companies in need of such services. The information gained about those utilising the service will make knowledge-based management a more effective aid for the production of the services.
National
Finland
FI
Ministry of Finance
Central-Government
General public services
R&D general public services.
In development
2.021
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2B
x
x
x
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Learning
Machine learning
Automated reasoning
Knowledge representation
01/01/1970
PSTW-1114
System called ARNO for submitting and processing application in Estonia
The city of Tartu uses the ARNO system (www.arno.ee) for managing applications and placements in nursery schools and childcare. The ADM systems determine a child's municipal school based on their registered address. School placements are generated annually using three sets of data: the automatic queue for preschool-aged children, the parent's preferred kindergarten, and the nearest kindergarten. Parents can request a school change later if necessary. For kindergartens, parents need to apply for a spot after their child's birth. The ARNO system is developed by OÜ Piksel.
Gynecologic cancers have characteristic structural and functional imaging features reflected in clinical phenotypes, and these imaging biomarkers highlight pathogenic mechanisms potentially targetable by novel treatments. The challenge is now to integrate these imaging biomarkers into clinically relevant treatment algorithms by identifying molecular targets for treatment based on imaging biomarker profiles.
Regional
Norway
NO05
Haukeland University Hospital (Helse Bergen)
Regional Government
Health
R&D health.
Pilot
2.008
2028
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://data.norge.no/kunstig-intelligens
Perception
Natural language processing
Automated reasoning
01/01/1970
PSTW-1179
Fraxinus - An open source, software only, navigation system for bronchoscopy
Bronchoscopy is the endobronchial procedure for inspection and diagnostic sampling in the airways, e.g. to diagnose lung cancer. Navigating the flexible bronchoscope through the airways to the target for the diagnostic sampling, like biopsy or fine needle aspiration, is challenging due to the numerous divisions of the airways tree structure and the lack of direct visibility of smaller peripheral lesions. Even with fluoroscopy guidance, the diagnostic success rate for bronchoscopically non-visible tumors is as low as 15% compared to 80% for visible tumors, dependent on tumor size, the doctors experience and the method used for sampling. Using navigated bronchoscopy is a possibility to reduce these challenges and thus increase the biopsy success rate.
Segmenting and characterizing lymph nodes from thoracic CT scans using machine learning
Accurate lung cancer diagnosis is crucial to select the best course of action for treating the patient. From a thorax CT volume, it is necessary to identify whether the cancer has spread to nearby lymph nodes or not. It is equally important to know precisely where each malignant lymph node is with respect to the surrounding anatomical structures and the airways. In this project, we introduce a new data-set containing annotations of fifteen different anatomical structures in the mediastinal area, including lymph nodes of varying sizes. We have developed a 2D pipeline for semantic segmentation and instance detection of anatomical structures and potentially malignant lymph nodes in the mediastinal area.
Regional
Norway
NO
Central Norway Regional Health Authority
Regional Government
Health
R&D health.
Pilot
2.018
2028
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://data.norge.no/kunstig-intelligens
Learning
Machine learning
07/11/2023
PSTW-1182
AI for cancer treatment
Oncologists can sit in front of the PC for hours and draw hearts, lungs and other organs on a CT image, manually. In the program on the PC, one can scroll through hundreds of CT images, all mapped carefully and by hand. The time that is saved means that the oncologists can spend more time getting to know each patient's case even better, treating more people, and developing new treatment.
Regional
Norway
NO
Central Norway Regional Health Authority
Regional Government
Health
R&D health.
Pilot
2.021
2030
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://data.norge.no/kunstig-intelligens
Perception
Computer vision
07/11/2023
PSTW-1183
AI in image-guided neurosurgery
The main goal is to gain new knowledge about the relationship between clinical and radiological findings, disease progression and treatment response in brain tumour patients. This can lead to more personalised treatment. We use machine learning to train models for automatic image analysis and prediction of survival and treatment response based on data from the individual patient in combination with data from hundreds of previous patients. The project is mainly based on data from the Central Norwegian Brain Tumour Registry and Biobank, which was established in 2015 by clinicians and researchers at St. Olavs Hospital and NTNU. Based on data from this registry, together with data from national and international partners, researchers at SINTEF are developing models for automatic image analysis and prediction of prognostic factors and disease progression based on artificial intelligence and machine learning.
Regional
Norway
NO
Central Norway Regional Health Authority
Regional Government
Health
R&D health.
Pilot
2.011
2025
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://data.norge.no/kunstig-intelligens
Learning
Machine learning
07/11/2023
PSTW-1186
IM-PACT - Identification of multimorbid patients with modifiable risk profiles using artificial intelligence
This project is based on large data sets from hospitals and municipal care in Northern Norway. The care model, PAtient Centered-Team (PACT), combines elements of person-centred care, integrated care and proactive care. The PACT team incorporates insights and feedback from both patients and carers in the care process, and emphasises the patients' role in the decision-making process. The project was designed to provide appropriate, patient-centred, integrated and timely healthcare services to patients with multiple illnesses. The project is funded by NSE.
Regional
Norway
NO
Northern Norway Regional Health Authority
Regional Government
Health
R&D health.
Pilot
2.021
2023
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://ehealthresearch.no/kin/prosjekter/im-pact
Learning
Machine learning
07/11/2023
PSTW-1188
Predicting the risk of postoperative wound infections using artificial intelligence
In the project, we will evaluate the validity of four non-AI-based risk tools to see which best predict the risk of postoperative wound infection. The variables, such as previous illnesses and age, in the risk tool with the best predictive power, will be used to develop algorithms for an AI-based risk tool, which we assume will predict the risk of postoperative wound infection better than the non-AI-based risk tools. The main goal is to develop an AI-based tool that can indicate the probability of a postoperative wound infection occurring in the individual patient, so that risk-reducing measures can be taken and the burden of disease for the patient is reduced.
Regional
Norway
NO
Northern Norway Regional Health Authority
Regional Government
Health
R&D health.
Pilot
2.022
2027
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://data.norge.no/kunstig-intelligens
Learning
07/11/2023
PSTW-1190
Prediction of relapse in glioblastoma
Glioblastoma is the most common type of brain tumor. Survival in patients with this disease is approximately 15 months. Surgery is the most common form of treatment for glioblastoma. After surgery, it is very common for new tumor formation to occur in areas close to the original tumor that is not removed by surgery. The purpose of this project is to analyze these peripheral areas in post-operative magnetic resonance (MR) and positron emission tomography (PET) images using artificial intelligence and try to predict which areas are most likely to develop new tumor tissue formation. In the future, this will be able to provide the surgeon with useful information about which areas should be removed during surgery and when choosing further treatment for the patient.
Regional
Norway
NO
Northern Norway Regional Health Authority
Regional Government
Health
R&D health.
Pilot
2.021
2023
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://data.norge.no/kunstig-intelligens
Learning
07/11/2023
PSTW-1195
Pathology services in the Western Norway Health Region – a center for applied digitization: Automatic classification of skin lesions
Melanoma of the skin is the cancer type with the largest increase in incidence during the last decade. Currently, after excision of a suspicious skin lesion, the tissue is fixed in buffered formalin and a histological section is examined under a microscope by a trained expert pathologist. The pathologists use their deep domain knowledge to identify several possible complex morphological and cytological features. Unfortunately, this manual diagnosis of skin cancer is a time- and labour intensive task and not always that easy and reproducible. In addition, the sheer amount of skin biopsies causes logistic and personnel issues. The main challenge is to find the few malignant melanomas among all the other benign or less malign skin cancers. This project aims to develop a Computer-aided Diagnostic (CAD) system for whole slide images that will help pathology departments to diagnose malignant melanoma more efficiently, by (1) reducing examination time, (2) reducing diagnostic variations and (3) increase diagnostic accuracy.
Pathology services in the Western Norway Health Region – a center for applied digitization: Measuring proliferation in breast cancer
Breast cancer is the most frequent female malignancy in the western world. To improve therapeutic decision-making, guidelines often combine conventional predictors to estimate relapse ⁄ mortality risk, but inaccuracy will cause over- and undertreatment. Proliferation factors are stronger prognostic indicators than Adjuvant! or NBCG Guidelines. Ki67 is also prognostic, and has been included in the Norwegian and Sankt Gallen therapy guidelines, but lacks independent laboratory test validation. As there is no formal standard operating procedure for Ki67 assessment based on scientific observations existent so far, the Norwegian guidelines nowadays also includes the classical mitosis counting, a time-consuming manual method. Both Ki67/PHH3 and mitosis counting can be automated and improved by means of digital image analysis. This project aims to train, test, validate and implement a machine learning system for calculating the Mitotic Activity Index (MAI), Ki-67 and PHH3 index in breast cancer
Regional
Norway
NO
Western Norway Regional Health Authority
Regional Government
Health
R&D health.
Pilot
2.020
2024
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://data.norge.no/kunstig-intelligens
Learning
Machine learning
07/11/2023
PSTW-1198
kvalitativ analyse av EIN
Endometrioid intraepithelial neoplasia (EIN) is a pre-malignant lesion of the uterine lining that predisposes to endometrioid endometrial adenocarcinoma (EEC). Correct diagnosis and management of EIN is becoming increasingly relevant with the rise in obesity, a well-established risk factor of EEC, in the population. Morphometric analysis called D-score, aims to provide a quantitative assessment of progression risk of premalignant endometrial lesions. Although it has been shown to be a reproducible measurement, adaption of the D-score is slow in laboratories, because it’s costly and timely. Despite the inclusion of EIN in WHO14 many pathologists still hold on to the original WHO94 definition both in diagnostics and research. This project aims to train, test, validate and implement an application for automated, fast and reproducible method for EIN-scoring.
Regional
Norway
NO
Western Norway Regional Health Authority
Regional Government
Health
R&D health.
Pilot
2.020
2024
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://data.norge.no/kunstig-intelligens
Learning
Machine learning
07/11/2023
PSTW-1201
Ki-67 in neuroendocrine tumours of the gastrointestinal tract
Ki-67 is both a prognostic and predictive biomarker in various tumours. To assess the Ki-67 index in neuroendocrine tumours (NET) of the gastrointestinal tract, it is recommended to count 2000 cells. For practical reasons, it is common to count fewer cells or make visual estimates without counting at all, resulting in less accurate and less precise Ki-67 indices. This project aims to train, test, validate and implement a machine learning system for calculating the Ki-67 index in neuroendocrine tumors of the gastrointestinal tract.
Regional
Norway
NO
Western Norway Regional Health Authority
Regional Government
Health
R&D health.
Pilot
2.019
2022
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://data.norge.no/kunstig-intelligens
Perception
Computer vision
07/11/2023
PSTW-1324
Hello Lamp Post
The Environment Agency has a responsibility to protect communities from flood and coastal risks. In the past, the agency has struggled to scale their public engagement and reach their diverse audiences, while also retaining a local relevance. Hello Lamp Post was brought on to provide an interactive, live 24/7 conversational channel to educate and inform the public on flood safety, in high-risk locations around the South West of England and Newcastle.
R2D3: Active-waiting robot for the disabled people’s waiting room
The active-waiting robot was developed by the French local-level Seine Saint Denis Innovation Lab. They created the robot R2-D3 to help reduce the digital gap with Departmental Home for Disabled Persons users. It informs users on various topics in a playful and simplified way. It can speak and understand many languages. It is user-oriented and it's built upon new robotic and open-source technology.
The municipality Bad Hersfeld built a digital twin using a multiple variety of open sourced data and is publicly showing them in the so called Urban Cockpit. Citizens can gather information about parking, the current status of waste bins and where to find a station for e-cars.
120 Words per Minute - a Training App for Basal Automated Reading
Studies for recording pupils’ basic skills demonstrate that their reading skills are continually deteriorating. The purpose of the project “120 Words per Minute” is to address this societal problem. 120 words per minute is the target speed children should have reached by the end of the fourth grade. However, around 20 – 30 percent of pupils remain considerably below 100 words per minute and often do not improve this rate later on during school. An app is going to be developed that maps all phases of the program “Lesen macht stark” (“Reading makes you strong”) – training for the 1st and 2nd grades that is used in printed form in over 100 schools in Schleswig-Holstein. In particular, it will make the level check the children use to verify their reading skills superfluous using an AI algorithm– speech to text. The children will be able to practice in tandem or alone. Teachers can use the app continuously during education starting with the first training sequence. It is expected that using the app will promote both reading fluency and the implementation of a material-supported diagnostic and support program at school when children learn to read.
INZNAK Project - Intelligent road signs for adaptive vehicle traffic control
In response to the desire to improve road safety and vehicle traffic, the INZNAK project was proposed. This project aims to improve road traffic by developing and building a network of autonomous road signs. The use of intelligent road signs in road traffic will prevent the most common collisions on highways, resulting from speed not being adapted to weather conditions, the condition of the surface and damming? vehicles in the event of a need to brake suddenly. During the project, 3 types of signs will be developed: standing, hanging and mobile. Each sign will have a display that will present hints for drivers along with a suggested speed. Hints will be displayed in the form of text and image messages, which will warn or inform about current traffic disruptions. Thanks to the use of a string of signs placed along the road, drivers will be warned much faster about possible dangers on the road. This is due to the fact that each of the signs will communicate with the others, making it easier to manage traffic. The signs will communicate in LoraWan and LTE technology. LoraWan technology will enable the characters to communicate with each other. And LTE technology will be used to send and receive messages from the traffic control center. The use of two-level communication allows the solution to become independent from possible failures of the telecommunications infrastructure. To ensure the flow of up-to-date information to autonomous signs, it is necessary to equip them with a number of sensors, which will analyze the traffic in the vicinity of the sign on an ongoing basis. The experimental installations of intelligent signs will be equipped with sensors analyzing road traffic, such as: Doppler radar, lidar, acoustic probe, RGB camera, Bluetooth receiver. Due to the fact that changing weather conditions, such as: storms, blizzards, fog, black ice, are also a big risk on the road. A weather station will be installed in each sign, analyzing the current weather conditions around the sign. As a result, the resolution of weather measurements will be very high. The proposed approach to traffic analysis is based on the principles of multimodality, thanks to which it is possible to supplement each of the individual methods with a different one in a place where it better serves its purpose. Such a case can be observed e.g. at night, where standard vision cameras mainly capture car lights. The use of a lidar device in such conditions allows for proper detection of most vehicles. In the next chapter, individual modalities used in the conducted research will be presented.
Local
Poland
PL
Gdansk
Local Government
Economic affairs
Transport
Pilot
2.019
Analysis, monitoring and regulatory research
Monitoring policy implementation
No
No
Artificial Intelligence
G2C
x
x
x
x
https://www.gov.pl/web/cyfryzacja/mapa-innowacji
Learning
Machine learning
Computer vision
01/01/1970
PSTW-1649
The city of Tampere, in Finland, predicts future foot traffic in the city center with its Tamperen Pulssi tool
Tampere and Wapice Oy used camera footage from central locations for foot traffic pattern identification. An AI-powered platform estimates future traffic within the context of weather forecasts, public holidays, and local arena events. Local businesses and agencies can see next month's estimated pedestrian traffic by opening Tamperen Pulssi in the Tampere.Finland app. This resource proves valuable in areas from staffing shops and restaurants to planning street maintenance.
Proactive services will reduce administrative burdens. Citizens won’t have to care about not missing the application periods, neither they should fill the same forms again and again. Proactive services should make it sure that the public resources go to those who most need them, rather than to the citizens that have a bureaucratic expertise. The solution is designed to reduce administrative burdens. Citizens shouldn’t care anymore about application periods, neither they should type data that they already gave within previous forms. The Spanish law doesn’t allow for full proactive administrative procedures: citizens must state every time that they want the procedure and that data is right. So, the solution approach tries to minimize the citizen effort, provided that it is not possible to provide 100% proactive services. Just one pilot has been implemented: the proactive service for University scholarships. Few subscriptions have been reached so far, by lack of diffusion, that will be reviewed.
The Gavà City Council is the leader of the project, but has the help of other 7 partners. A public-private partnership that has been essential for Gavius to get ahead. Gavius is an innovative virtual assistant which uses AI technology to communicate to the citizens the social aids that they have at their disposal, process them, grant them and perceive them in a comfortable, fast and simple way, via a mobile device. The new virtual assistant will be applied in the field of social services, but has the possibility of being implemented in other uses that improve the relationship of the administration with the citizens. Two more virtual assistants are also being developed: one for staff and the other for managers. The service is part of a project financed by ERDF funds through the Urban Innovative Actions initiative. The project ended on February 28, 2023.
AuroraAI is an initiative that aims to automatically identify and predict "life events" in people's lives, which are specific circumstances that require certain services. It is often described as a "nanny" or a "good guardian" that assists citizens in accessing public and private services by suggesting and offering the appropriate ones for their particular situation. The system brings together data from different sectors of the public sector to proactively develop services for citizens. Some use case examples include a student relocating to a new city, retirement, job loss, or changes in family relationships. The goal is to provide personalized support and guidance based on individuals' unique circumstances.
VDAB Chatbot for job seekers - Chatbots to better match jobseekers with the right vacancies
VDAB experiments with chatbots to better match jobseekers with the right vacancies. A chatbot is an automated conversation partner that participates in typed conversations. VDAB is also investigating how chatbots can guide job seekers in their search by automatically answering questions and addressing job seekers.
http://chatbotvanvdab.be/
Local
Belgium
BE
Vlaamse Dienst voor Arbeidsbemiddeling en Beroepsopleiding
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
HOLONI is an AI4Cities project that enables municipalities, local sustainable brands and energy retailers to assess the true potential of city solar, exchange local green energy and, at the same time, reinvent their community and commercial relationships to prosumers towards collective sustainable impact. HOLONI uses AI to predict and analyze solar surplus potential across the city.
Questions and information requests are submitted to the Estonian National Library every day. These questions often have repetitive patterns and repetitive topics that require too much human resources to answer. Every year, the Estonian National Library receives approximately 14 thousand e-mails with questions. As a result of the project, a prototype of an application based on artificial intelligence was completed, which was able to sort incoming questions by topic and answer first-level questions by itself with repeating patterns.
National
Estonia
EE
National Library
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Pilot
2.019
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
https://www.kratid.ee/kasutuslood-kratid
Communication
Natural language processing
Searching
chatbot
01/01/1970
PSTW-206
Artificial Intelligence for faster and better diagnosis of emergency patients
To assist healthcare professionals in deciding whether or not to admit an emergency patient a tool that can provide a quick diagnosis of the 15 most common acute illnesses will be developed. This provides better opportunities to differentiate between non-critical patients and critical patients who need hospital admission. Thus, resources can be used better for the benefit of the patients. Based on analyses of blood and urine samples, the algorithm can detect the 15 most critical diagnoses and infections. The algorithm can also rank the probability of these within 60 minutes of the patient's arrival.
Local
Denmark
DK03
Sugehus Lillebaelt
Local Government
Health
R&D health.
Pilot
2.019
2022
Internal management
Internal support processes
No
No
Artificial Intelligence
G2C
x
x
x
Mail to AI Watch 15-05-2021
Planning
Planning and Scheduling
Automated reasoning
01/01/1970
PSTW-577
SKRINJA 2.0 - Business Intelligence in the civil service (BI)
The ICT department of the Ministry of Public Administration implemented a data warehouse and business intelligence system that is configured as a horizontal service on Government Computer Cloud to promote data-driven decision making in public administration. The Ministry also handles the procurement activities of the country and therefore there is a prospect of utilising the system in the procurement procedures as well.
National
Slovenia
SI
Ministry of Public Administration
Central-Government
General public services
General services.
Implemented
2.020
Analysis, monitoring and regulatory research
Information analysis processes
No
No
Artificial Intelligence
G2B
x
x
x
x
IPSO DB
Planning
Planning and Scheduling
Knowledge representation
data analytics
01/01/1970
PSTW-1290
AI in Social Services
The Social Services of the City of Barcelona deal with an average of 50,000 visits every year. These relate to a variety of issues ranging from financial or addiction problems to gender-based violence and are handled by a team of over 700 professionals. People arriving at the centre are welcomed in private booths. The social worker records the conversation and, at the end, writes up the problem and the service to which it has been referred. Now, an algorithm will provide the staff with digital support in the decision-making process. The algorithm, which has been trained with a corpus of 300,000 interviews, will suggest the appropriate solution and resources for each case. The algorithm works as a supporting tool in the decision-making process, but the decision is still ultimately made by the professional handling the case.
Local
Spain
ES51
City of Barcelona
Local Government
General public services
General services.
Pilot
2.021
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
https://gouai.cidob.org/atlas/
Learning
Machine learning
AI Services
decision support
08/07/2023
PSTW-1482
Crowdsorsa - City of Helsinki
Crowdsorsa is a mobile App that collects data on the infrastructure sector (public infrastructure, roads, energy and water infrastructure) by using gamification approaches. Through the App Inventories and condition surveys of any kind of physical assets can now be carried out in only a matter of hours. Moreover, citizens can earn money by participating in the data collection missions co-organized by Crowdsorsa and its contracting partners (i.e. the city of Helsinki). The game is played by collecting and placing virtual objects on the map while taking gps-tagged photos or videos with your smartphone. Supplied with AI and asset management analysis, it is expected that participants (i.e. citizens) go around their cities or around a specific pre-determined area, map them according to a set of rules, take pictures/photos and upload them to then be evaluated by the AI and asset management platform.
Chatbot Trade Register - Development of Chatbot for Trade Register matters
The Finnish Patent Registration Office is currently building a Finnish-speaking chatbot which helps customers with Trade Register matters.
National
Finland
FI
Finnish Patent and Registration Office PRH
Central-Government
Economic affairs
Economic affairs n.e.c
Implemented
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Communication
Natural language processing
Optimisation
chatbot
11/10/2023
PSTW-400
Cracow Virtual Clerk
A pioneering solution has been launched on the new POP website - a virtual clerk. It is an innovative tool that uses Artificial Intelligence, allowing you to intuitively search for information in the field of entrepreneur service, including setting up your own business. An important advantage offered by a virtual officer is the ease and speed in reaching the information sought and the availability of the service 24 hours a day, seven days a week.
Local
Poland
PL
Municipality of Cracow
Local Government
General public services
General public services n.e.c.
Pilot
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
https://www.gov.pl/web/cyfryzacja/mapa-innowacji
Communication
Natural language processing
Machine learning
Searching
chatbot
01/01/1970
PSTW-407
Resident's Virtual Advisor
The Virtual Resident Advisor is an innovative software used by thousands of customers, including administration, to optimize customer service processes. Its main task is to improve the search for necessary information on the pages of the Public Information Bulletin in Wrocław. The Virtual Resident Advisor is a chat-based dialogue system that simulates a conversation with a real person, leading the user on the BIP side to the right answer. The offered solution belongs to the group of the so-called intelligence customer interaction solutions and uses the integration of sound and video with Artificial Intelligence mechanisms. The Virtual Resident Advisor is available at www.bip.um.wroc.pl
Local
Poland
PL
Municipality of Wroclaw
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
https://www.gov.pl/web/cyfryzacja/mapa-innowacji
Communication
Natural language processing
Audio processing
chatbot
01/01/1970
PSTW-410
Chojnice Virtual clerk
As part of the project "Chojnice Poviat - attractive, innovative, investment-friendly - construction of the Biznes Chojnice portal and image campaign of the Chojnice Poviat", among others, on the bizneschojnice.eu website, the "virtual assistant" (chat-bot) service was launched. The "virtual assistant" is a system used to optimize the processes of servicing hundreds of thousands of beneficiaries. It informs interested parties about general matters related to the municipality (tourism, business tip).
Local
Poland
PL
Municipality of Chojnice
Local Government
General public services
General public services n.e.c.
Pilot
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
https://www.gov.pl/web/cyfryzacja/mapa-innowacji
Communication
Natural language processing
Optimisation
chatbot
01/01/1970
PSTW-412
Chatbot SAM - Virtual Community Assistant
Chatbot SAM is a solution that is being introduced to the Kielce Technology Park. It enables communication between tenants and guests with KPT employees. SAM runs mainly on the platforms that users know best, such as Facebook Messenger and Facebook. Using Messenger, the virtual assistant is able to precisely locate its user, helping it find an event, office, or specific company, and even lead and navigate inside and outside the building. Using it, tenants have ongoing contact with guardians, and it is easier for them to find business partners. Artificial Intelligence is being used here to present the offer and stimulate the activity of the KTP community.
Local
Poland
PL
Kielce Technology Park
Local Government
General public services
Foreign economic aid.
Implemented
2.021
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
https://www.gov.pl/web/cyfryzacja/mapa-innowacji
Communication
Natural language processing
Automated reasoning
chatbot
01/01/1970
PSTW-417
IBM Watson: Automated assistance in tax filing in Spain
Since July 2017, the Tax Authority in Spain has been using the IBM Watson software to provide automated assistance regarding a particular aspect of VAT filing which mostly affects big companies. In public communications about it, both IBM and the Tax Authority highlighted that the software can work 24/7 and, as such, was freeing public servants from having to deal with a large number of emails from people trying to do their VAT filing. According to their PR, between July 2017 and February 2018, the number of emails to civil servants about VAT issues decreased from 900 to 165 per week. And, reportedly, the automated assistant went from receiving around 200 questions per week, when it was launched in July 2017 to around 2,000 by November 2017 (Computing, 2018).
National
Spain
ES
Spanish Tax Authority
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Identity Check of Migrants - Analysis of content and language of phones
The Bundesamt für Migration und Flüchtlinge (Federal Office for Migration and Refugees, BAMF) has been using automated text and speech recognition systems to identify refugees since 2017. Agency employees can ask asylum seekers to give them access to their cell phone, tablet, or laptop to verify if they are telling the truth about where they come from. The agency has the ability to obtain all the data contained on the devices and run software on it. The software presents the employee with a limited overview of the content, which also includes language analysis of the text retrieved. According to the BAMF, both the software and the hardware was provided by the firm Atos SE, however, VICE Magazine found evidence, that the mobile forensic technology firm MSAB was also involved. Another tool deployed by the BAMF aims to identify disguised dialects in speech. When an asylum seeker does not have a valid proof of ID, a two-minute voice recording of the person describing a picture in their mother tongue is analyzed by software, which then calculates a percentage of how close the speech comes to a certain dialect.
National
Germany
DE
Bundesamt für Migration und Flüchtlinge (Federal Office for Migration and Refugees, BAMF)
Bots (short for robots) that perform automatic tasks, repeating the operations performed by a user, are widely used. Chatbots, i.e. programs with a "conversational" User Experience, are now becoming the new reality in technologies for "man-machine" interaction. To make a chatbot able to understand, respond to requests and propose solutions using everyday natural language, it is necessary to introduce very innovative context management and artificial intelligence technologies. Three prototypes were produced with the goal of: 1) engineering and automating the production of bots, to quickly implement new services; 2) improve effectiveness by inserting conversation patterns, e.g. fluid conversation mechanisms, with current speech memory and list references. For instance, CSI made prototypes useful for searching for general practitioners and pediatricians of the Piedmont Region on Alexa and Google Home, with refinement of the search.
Regional
Italy
IT
CSI Piemonte (Inhouse ICT of Regione Piemonte)
Regional Government
General public services
General services.
In development
2.019
2020
Public services and engagement
Service personalisation (various)
No
Yes
Artificial Intelligence
G2C
x
x
x
www.csipiemonte.it
Communication
Natural language processing
Machine learning
Audio processing
speech recognition
01/01/1970
PSTW-428
Automatic identification of individual risk factors in social care and healthcare
In October 2019, the Japanese multinational IT service provider, Fujitsu, announced that it was developing an AI solution for South Karelia’s social care and healthcare district (known by its Finnish acronym Eksote). The project employs machine learning methods with the aim of helping Eksote identify factors underlying social exclusion of young adults, as well as predicting associated risks. With the predictive model, social and healthcare professionals will be provided an overview of risk factors. According to Fujitsu’s press release, the model identifies some 90% of young adults susceptible to social exclusion. In practical terms, the model that is being used is derived from pseudonymized data taken from the use of Eksote’s services by young adults, and it uses this data to predict social exclusion outcomes defined by Eksote’s professionals. According to Eksote, the legislation on the secondary and combined use of healthcare data makes it possible to use only non-identifiable, pseudonymized data. This means that Fujitsu’s model cannot be used to identify individual young adults considered to be at risk of social exclusion; rather, the model produces a list of risk factors on a general level. The next step in the project is to examine whether it is possible, under the current legislation, to set up a consent-based system: a client’s consent would be asked for before using the predictive model on their individual data when they, for example, have an appointment with a social care or healthcare professional.
The project want to implement a “robot judge” that could adjudicate small claims disputes of less than €7,000 (about $8,000). Officials hope the system can clear a backlog of cases for judges and court clerks. The project is in its early phases and a pilot started in 2019 focusing on contract disputes. In concept, the two parties will upload documents and other relevant information, and the AI will issue a decision that can be appealed to a human judge. Many details are still to be worked out. Velsberg says the system might have to be adjusted after feedback from lawyers and judges.
When someone encounters rubbish or a maintenance issue on the street or in a park, they can report this to the municipality via an online reporting system. A dangerous traffic situation or disturbance from people or cafes can also be reported. This system used to be a collection of drop-down menus, from which the user would pick the category that best suited their report. The department responsible for a certain category would then take care of the report. However, as the municipality is a complex organisation, there are countless categories. Many times the wrong category would be chosen, resulting in delays. Now, an algorithm recognizes certain keywords, for example, waste and sidewalk. From these keywords, it determines which category it belongs to, and ultimately, which department within the municipality should examine the case. As a result, there are fewer administrative steps for the person reporting on the issue. Also, the report can be processed much faster, because it arrives at the right department more quickly.
Local
Netherlands
NL
Research, Information & Statistics (OIS)
Local Government
General public services
General services.
Implemented
2.018
Public services and engagement
Engagement management
No
Yes
Artificial Intelligence
G2C
x
x
x
x
x
x
IPSO DB
Planning
Planning and Scheduling
Natural language processing
01/01/1970
PSTW-1583
Event Impact Calculator in Gothenburg
Within this framework of increasing attractiveness of the city combined with growing attention towards
sustainability, the Swedish Sports Confederation and Go:teborg&co – a marketing company controlled by the
city – developed the Event Impact Calculator, a tool to estimate the socio-economic and environmental impact
of an event. The tool is free to use for all relevant stakeholders, such as event organisers, regions, municipalities,
destinations, property owners, tour operators, the hotel and restaurant industry, students, etc.
The tool is characterised by its user-friendliness, as users are simply required to input a series of figures, they
have knowledge of, or can make educated guesses about. These include key figures about the magnitude of
the event (such as on the expected number of participants or the expected number of foreign participants),
information on participants’ expected accommodation and means of transportation, costs of tickets,
sponsorships, and even the residents’ attitude towards the event.
After receiving the data, the tool compiles a report estimating economic, environmental and social impacts, to
be potentially used by organisers to inform negotiations with destination managers, motivate grant applications,
attract sponsors, or any other activity in connection with the event. Therefore, the tool allows tourism
stakeholders to organise events with greater professionalism thanks to the possibility of informing discussions
and decisions through data.15
Managing vacancies - Recommender: the amazon of the labour market
The Innovation Lab of VDB is working to improve matching using Big Data analytics to recommend vacancies to a jobseeker when they access the VDAb's vacancy system.
Regional
Belgium
BE2
Flemish Employment and Vocational Training Service (VDAB)
AI warns german businesses that the documents uploaded to apply for import tax exemptions might be wrong
German businesses, in the case of an application to limit the Renewable Energy Sources (EEG) surcharge as part of the special equalization regulation, must submit all relevant documents before the material deadline. If this deadline is missed, the electricity-intensive companies face the irremediable rejection of the application and thus the payment of the full EEG surcharge. In order to minimize this risk for companies, BAFA has fundamentally modernized the application process this year: With the help of artificial intelligence, the uploaded application documents are automatically searched for errors. If it is determined with a certain probability that the wrong documents may have been uploaded, the application portal issues a warning message.
National
Germany
DE
Federal Office for Economic Affairs and Export Control (BAFA)
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.020
Enforcement
Supporting inspection processes
No
No
Artificial Intelligence
G2B
x
x
x
Bendszusn, R. (2022). Make-or-buy in the area of Artificial Intelligence: Insights from AI use cases in the German public sector (master's thesis). Hertie School, Berlin.
Learning
Machine learning
08/07/2023
PSTW-1039
Spike, Energy Pilot Project - Copenhagen
SPIKE is a pilot from the AI4Cities project, a scalable “plug&play” kit of devices that can be installed in every building to fine-tune energy usage in real-time, allowing 20% (on average) operational savings and over 90% in-comfort time for occupants, without any drastic changes to the existing HVAC. The company's most recent solution is an all-in-one-platform, implementing the concept of “Energy as a Service”, which helps orchestrate energy loads and renewable energy production within energy communities. SPIKE aims to become the world’s first enabler for easily creating a Virtual Power Plant (VPP) at urban level.
SPIKE is a pilot from the AI4Cities project, a scalable “plug&play” kit of devices that can be installed in every building to fine-tune energy usage in real-time, allowing 20% (on average) operational savings and over 90% in-comfort time for occupants, without any drastic changes to the existing HVAC. The company's most recent solution is an all-in-one-platform, implementing the concept of “Energy as a Service”, which helps orchestrate energy loads and renewable energy production within energy communities. SPIKE aims to become the world’s first enabler for easily creating a Virtual Power Plant (VPP) at urban level.
Smart Personalization of the cultural offer in Antwerp Testing (SOCRATES)
With the PIP project Smart Personalization of the Cultural Supply in Antwerp Testing (SOCRATES), the city of Antwerp and Digipolis want to investigate the feasibility and effectiveness of an individual cultural user profile. Via such a profile, the city of Antwerp wants to offer personalized recommendations to Antwerp culture lovers (tailor-made culture) at their own request and on the basis of their digital cultural DNA. The intended technological solution for SOCRATES is a Digital Experience Platform (DXP) that, as mentioned, is nourished by a personal culture profile and enriched with a wonder algorithm . The aim is to build the DXP in a modular way so that a maximum link with existing and future IT architecture, in particular the Antwerp City Platform as a Service (ACPaaS), is possible. ACPaaS offers a 'block box' of reusable (generic) backend services via engines so that (specific) frontend applications can be made faster, simpler and more powerful. The DXP intended with SOCRATES as an extension of ACPaaS extends this line to the application frontends, or all digital touchpoints with the (cultural) users. Based on the digital cultural profile of the user, Artificial Intelligence (AI) can make suggestions for, for example, literature and all kinds of cultural activities.
Sigma is the chatbot of the portuguese public services portal (eportugal.gov.pt). This chatbot responds, in natural language, to user interactions with the information available on the information pages on public services available on the ePortugal portal. In addition to answer with information, the user can, in a conversation, change his address on the Citizen Card (Portuguese identification document). In the last Portuguese elections, the citizen was able, through a conversation with Sigma, to know where to vote. The administration and configuration of Sigma goes through 3 platforms: (1) LUIS - platform that interprets natural language. When trained, he's able to identify what the user wants to know (intention) about a certain service (entity). (2) QnA - platform where the ePortugal portal services are loaded so that the bot can identify them, and also where chitchat interactions are loaded (quick chat). (3) Cognitive Services APIs Reference - platform where groups of synonyms are loaded in form of keywords to facilitate the bot to interpret a service.
National
Portugal
PT
Agency for Administrative Modernisation - AMA
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.021
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Communication
Natural language processing
Searching
chatbot
11/10/2023
PSTW-166
Scout.AI - Analyse the information recorded within the SNS 24 TAE Service
The Triage, Counselling and Referral Service (TAE) is a telephone service provided by the Contact Centre of the National Health Service - SNS 24. In 2018, more than 1 million calls with an average duration of 7-8 minutes were answered. Being of national scope, this is a service that promotes equity in the access to health care. Telephone service is provided by nurses and follows pre-defined clinical algorithms. Triage is based on a specific clinical algorithm (out of a set of 59), and the choice of the most appropriate algorithm is extremely important and relevant. The selected clinical algorithm should ensure high safety (not failing to identify situations that require urgent medical contact) and should have high discriminatory capability. In this context, the SNS24 Scout.AI will apply Artificial Intelligence (AI) methodologies, aiming the development of decision support tools with two main objectives: (1) Support the nurse in the selection of the most appropriate clinical algorithm and (2) Provide support to Directorate-General of Health (DGS) in the optimization process of the design of clinical algorithms and their referrals. The first objective will be achieved by identifying the most appropriate algorithms for a given set of symptoms, with adjustment for age and sex. The AI methodology to be applied will be based on a classifier built on automatic learning algorithms on an anonymised data set, obtained from contacts of the SNS 24 in 2017 and 2018. This data represents accumulated experience in around 2 million cases. After the creation of the prediction model, it will be implemented in the SNS 24 TAE Service as decision support, indicating in real time which algorithms are most likely to be used.
National
Portugal
PT
SPMS - Shared Services of the Ministry of Health, EPE
Central-Government
Health
Health n.e.c.
In development
2.021
Enforcement
Supporting inspection processes
No
No
Artificial Intelligence
G2C
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Reasoning
Knowledge representation
Optimisation
decision support
11/10/2023
PSTW-234
Customer call analysis - Finding patterns in the reasons for customer inquiries
The Social Insurance Board, in cooperation with Feelingstream, conducted five pilot projects aimed at analyzing customer calls and web chats in detail and finding patterns in the reasons for customer inquiries. As part of the pilot, the Feelingstream application transcribed the Social Insurance Board's calls from May to August 2020 (3 months) in Estonian and Russian. The Feelingstream application provides an opportunity to get both a statistical overview and a detailed understanding of customers' concerns across several customer communication channels - calls, emails and chatbot. Customer contact analysis is the fastest and most immediate way to find places in services that the customer is in trouble with and that can be changed quickly. The analysis creates insights for managerial decision-making, which in turn leads to better and more efficient public services. The pilot project involved an information line manager and two service managers. In the pilot project, SKA chose Feelingstream as a partner, which specializes in analyzing customer contacts in Estonian and Russian. The analysis creates insights for managerial decision-making, which in turn leads to better public services to make them faster and more convenient for citizens to use.
National
Estonia
EE
Social Insurance Board
Central-Government
Social protection
Social protection n.e.c.
Pilot
2.021
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
https://www.kratid.ee/kasutuslood-kratid
Communication
Natural language processing
Machine learning
text analysis
01/01/1970
PSTW-249
Marakratt - Personal learning path infrastructure
In the framework of the project, a proof-of-concept solution for students supporting individual study paths was created. During the project, the use of machine learning was tested in the creation of educational material recommendation models. Prototype-like models were also created to help automate the personalization of educational materials and activities used in learning, based on learners' interests, knowledge and abilities.
National
Estonia
EE
Board of Education and Youth
Central-Government
Education
R&D education.
Pilot
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
https://www.kratid.ee/kasutuslood-kratid
Reasoning
Automated reasoning
Knowledge representation
01/01/1970
PSTW-392
Virtual Clerk - Assistance with search for information
"Virtual Clerk" is a system used to optimize the processes of servicing hundreds of thousands of beneficiaries. A modern and innovative tool that uses Artificial Intelligence, allowing you to intuitively search for information on the operation of the office and the procedures carried out by it. An important benefit offered by WU is the ease and speed in reaching the information sought and the availability of the service 24 hours a day, 7 days a week.
Local
Poland
PL
Municipality of Chorzow
Local Government
General public services
General public services n.e.c.
Implemented
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
https://www.gov.pl/web/cyfryzacja/mapa-innowacji
Communication
Natural language processing
Searching
01/01/1970
PSTW-60
Toscana Open Research - Allows users to access information through "queries"
The portal of the Tuscany Region designed to communicate and enhance the Tuscan system of research, innovation and higher education and to promote increasingly transparent and inclusive governance. The integration of data through a domain ontology allows users to query without having to use the technical terminology related to the physical organisation of databases and their complex internal structure.
Regional
Italy
IT
Regional Conference for Research and Innovation
Local Government
General public services
R&D general public services.
Implemented
2.021
Public services and engagement
Data Sharing Management
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
x
http://www.toscanaopenresearch.it/en/
Reasoning
Knowledge representation
Optimisation
Searching
data anomalies detection
01/01/1970
PSTW-994
Automated border control via Easypass Registered Traveler Program - biometric face recognition system
EasyPASS Registered Traveller Programme (RTP) allows EasyPASS to be used as a simple, fast and convenient alternative to traditional border control. This requires an electronic passport from a country that has concluded a declaration of reciprocity for the use of automated border control procedures.
National
Germany
DE
Federal Police
Central-Government
Public order and safety
Public order and safety n.e.c.
Implemented
2.018
Enforcement
Smart Recognition processes
No
No
Artificial Intelligence
G2C
x
x
x
x
x
Bendszusn, R. (2022). Make-or-buy in the area of Artificial Intelligence: Insights from AI use cases in the German public sector (master's thesis). Hertie School, Berlin.
Perception
Computer vision
face recognition
01/01/1970
PSTW-1460
London Electric Vehicle Charge Points Dashboard
Electric Vehicle (EV) charging infrastructure - a vital component of London’s smart and green agenda - is being delivered by a wide range of public and private bodies across London (up to 50).
As a result of the project, we developed a dashboard to join up the EV Charging infrastructure in London to enable a collective understanding of what is already in place, how it is being used, and to guide future installations.
Mona - Public chatbot for companies on the subject of the economy
The new chatbot "Mona" is intended to cover all relevant questions for companies on the subject of the economy, and previously on the corona crisis. The service of the Federal Ministry for Digitization and Business Location (BMDW) is available online on the "Unternehmens Service Portal" (USP, Company service portal ) website and can also be used on mobile devices. The service can be found on the home page of the USP and is intended to provide companies with important information on essential points such as subsidies, labor law matters such as short-time work and teleworking in a simple way during these difficult times . On the one hand, users can ask freely formulated questions, on the other hand there is a classic information channel in which more detailed information is provided step by step on the three central topics of work, financial aspects and research at the click of a mouse.
National
Austria
AT
Unternehmensservice Portal, Austria
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Cultural Heritage Tools - AI tools integrated in the National Library of Finland
Two AI tools have been integrated into the IT system of the National Library of Finland (digi.nationallibrary.fi):
1. Named entity recognition (NER)
-Stanford NER software to recognize persons and place names from the Finnish historical newspapers. The first training and evaluation data set was created that consists of pages of both journals and newspapers from the time period 1836–1918. The Stanford NER system was trained using 220 annotated pages and evaluated using 34 pages. The results that were achieved were mostly good: 71 % of person names and 79 % of place names were recognized from the evaluation data.
2. Image classification
-Google TensorFlow was used to classify images.
A training dataset was created that was used to train the classifier model with TensorFlow. Using the trained model, it was possible to classify images into the following groups: advertisements, drawings, notes, pictures, paintings, maps or garbage.
-The trained model was used to classify 50 000 images and its accuracy was about 70-75% when about 10 000 classified images were manually observed.
-A graphical user interface was created that enabled an easier way to observe achieved results.
National
Finland
FI
The National Library of Finland
Central-Government
Recreation, culture and religion
Cultural services.
Implemented
2.020
Internal management
Internal primary processes
No
No
Artificial Intelligence
G2C
x
x
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Communication
Natural language processing
Machine learning
text analysis
11/10/2023
PSTW-363
Rain radar Rijnmond - Prediction of rain to prevent flooding and damage
The Rijnmond rain radar measures and predicts precipitation in the region very locally. This helps prevent flooding and damage.
Local
Netherlands
NL
Municipality of Rotterdam, TUDelft
Local Government
Defence
Civil defence.
Pilot
2.021
Analysis, monitoring and regulatory research
Prediction and planning
No
No
Artificial Intelligence
G2C
x
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Planning
Planning and Scheduling
Automated reasoning
01/01/1970
PSTW-429
Predicting youth problems - Identifying youth problems and providing support
In June 2018, Eksote announced that it had developed, in collaboration with the Finnish IT firm, Avaintec, an AI model to predict problems experienced by children and the youth. The aim was to identify problems early on, so that an intervention could be made and support provided to families sooner rather than later. Much like in the 2019 project on young adults and social exclusion, this model was based on explicitly defined undesired “endpoints”: low-grade averages, disciplinary interventions at school, high-class non-attendance figures, being taken into custody, acceptance into psychiatric care, and substance abuse. The model made use of data gathered from the IT systems of maternity clinics, kindergartens, schools, healthcare, and mental healthcare providers, as well as social services – e.g., it combined data from different administrative branches, namely social care, healthcare, and education. The outcome was the identification of a total of 1340 risk factors, ranging from bad teeth in children, to parents missing maternity clinic appointments, to the child’s siblings bullying others at school. These examples also give an idea of the kinds of data that were employed when making predictions. Ideally, the model would make it possible to continuously keep track of risk factors of individual children.
Predicting chronic pathologies and post-surgery complications
In the city of Vimercate, in the Lombardy region of northern Italy, the local branch of the public health authority (Azienda Socio Sanitaria Territoriale, ASST) has adopted open source cloud solutions (developed by Almaviva) which use algorithms to predict the beginning of chronic pathologies and post-surgery complications Building on a decade spent digitizing medical records, Vimercate hospital aims to more efficiently manage patients, including by personalizing treatments according to machine learning-powered analytics, thus reducing costs and optimizing logistics, while at the same time improving its “precision medicine” solutions.
“This is the first structured usage of AI within a hospital in Italy”, says Head of AI Solutions at Almaviva, Antonio Cer-qua, who also revealed that the objective is to provide his company’s IoT platform, Giotto, “to a national network of hospitals”. According to Cerqua, “many have already shown their interest” (Il Giorno 2019).
Representatives from the consulting giant Deloitte also visited the Vimercate hospital specifically because of this project, wrote Giornale di Monza.“AI must not replace physicians”, says Head of Informatics at ASST Vimercate, Giovanni Delgrossi, “but support them, a tool that helps them making better decisions” (Sole 24 Ore 2019)
Artificial Intelligence for the prevention of malnutrition and hospitalization of the elderly
The project aimed to prevent emergency hospital stays by identifying citizens at risk of malnutrition, so that treatment can be initiated in a timely manner. Malnutrition among the elderly is a significant predictor of longer hospital stays, readmissions and mortality. The project can thus contributde to citizens first and foremost receiving better treatment, where efforts against malnutrition are effectively initiated. In the long term, this would lead to citizens with greater self-reliance and an increased quality of life, and in the long term fewer municipal services for personal help.
Local
Denmark
DK
Aarhus University Hospital, Aarhus Municipality,MedTech Innovation Consortium,Regional Hospital Horsens and Skanderborg Municipality
Large-scale high-engagement citizen participation with generative AI
Enabling more citizen participation in governmental decision making could increase the quality of decisions. It is in any case likely to increase their adoption, if participation was genuinely conducted in pursuit of the best possible decision for the greatest public interest. Using ChatGPT a consortium from Eindhoven, The Netherlands, created an AI-mediated engagement app. This project was financed with $100k by OpenAI, after having been selected as one of out 10 projects from over 860 project submissions. After having conducted an initial trial during development with 450 people, it was launched as the start of a new type of city consultation in Eindhoven on 22-02-2024. Currently the EIndhoven library and the biggest youth center are supporting new events, aiming for a decision in December '24 on the city consultation becoming a monthly opportunity or people to discuss matters close to their heart.
Local
Netherlands
NL
Municipality of Eindhoven
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.024
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
x
x
Self-reporting tool
Communication
Natural language processing
Generative AI
Machine learning
01/01/1970
PSTW-1933
Bureaucrat on eID website
The bureaucrat operates on the website of the Information System Authority id.ee and takes on some of the people's inquiries. A bureaucrat is an interoperable network of chatbots on the websites of public authorities, which allows a person to receive information from institutions through colloquial communication through a chat window. He is an opportunity for a person, that is, a user, to use public direct and information services with colloquial communication with the help of virtual assistants.
National
Estonia
EE
Estonian Information System Authority
Central-Government
General public services
General services.
Implemented
2.023
Public services and engagement
Engagement management
No
Yes
Artificial Intelligence
G2C
x
x
x
https://www.kratid.ee/kasutuslood-kratid
Communication
Natural language processing
Machine learning
Automated reasoning
chatbot
03/04/2024
PSTW-82
Mercé - citizen science for better urban life
A citizen science experiment in the city of Barcelona: citizens training algorithms to make urban environments more livable. The Mercè project is proposed as a new line of work that applies new machine learning techniques (one of the branches of so-called Artificial Intelligence) to the disciplines of urban planning, geography, sociology, economics and science. urban health to build objective knowledge and open data about our urban environments.
Thus, Mercè is a citizen science experiment that aims to involve citizens in the training of an algorithm that allows us to design more livable cities. Through this experiment it is possible to translate the individual perceptions of many citizens about the habitability of cities into objective knowledge, reusable in urban planning.
The relevance and innovation of the project is based on applying information and communication technologies to different transversal fields of knowledge, which have their common denominator in the city.
Local
Spain
ES51
City of Barcelona
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
In development
2.020
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
x
x
x
http://merce.300000.eu/data2/informe_merce.pdf
Learning
Machine learning
Knowledge representation
Planning and Scheduling
data anomalies detection
01/01/1970
PSTW-1938
Machine translation customer support communication window on the website of Tartu University Hospital
On its website, Tartu University Hospital uses a customer support communication window with Askly machine translation, which combines a customer support chat solution, the possibility to send an e-mail and frequently asked questions.
National
Estonia
EE008
Tartu University Hospital
Local Government
Health
Public health services.
Implemented
2.023
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
x
https://www.kratid.ee/kasutuslood-kratid
Communication
Natural language processing
03/04/2024
PSTW-108
Taxana - Chatbot for financial administration
The Slovakian Financial Administration is the first state institution to launch an automated Chatbot to communicate with its clients, available 24/7. This Chatbot was named Taxana, chosen by the employees of the financial administration combining the English word tax and the Slovak word toy. The system has been put in place as it is argued that the state financial management must continue to digitize and electronic processes to make the processes easier for taxpayers. The introduction of automated chat in communication with their clients will also assist the call center staff, who save time and can thus deal with more complex issues of taxpayers.
National
Slovakia
SK
Financial Administration
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
The Oversi Chatbot is part of a government initiative to stop the bureaucracy in Slovakia and to apply the once only principle in a digital way. The Chatbot has been invented in order to help find the best solutions and answers to common questions for the general public.
National
Slovakia
SK
The Office of the Deputy Prime Minister of the Slovak Republic for Investments and Informatization (ODPMII)
The goal of this project is to make (local) debt relief easily and quickly accessible to debtors, done partially with a chatbot that helps people with their questions about their debts. There are different entry routes to debt relief. The best next step is determined on the basis of several key questions that determine the best next step for the person in question. This project is the product of a collaboration between IBM and the Rotterdam Municipality.
National
Netherlands
NL
Rotterdam
Local Government
Social protection
Social protection n.e.c.
Implemented
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Communication
Natural language processing
Machine learning
chatbot
11/10/2023
PSTW-2152
Titormos - the citizens assist chatbot in the Municipality of Agrinio
"Titormos", from an ancient local hero of the city of Agrinio in Greece, is the new chatbot available on the municipality's official website. The Municipality of Agrinio is a municipality with a wide geographical span which includes both mountainous and lowland areas with different problems emerging. Prior to Titormos, citizens could only submit requests by calling a phone number during limited working hours on weekdays. With this specific solution, citizens can be informed about information concerning the city but also, most importantly, submit a problem that concern them and is of a local nature in matters of cleanliness, such as garbage collection, matters of city lighting, policing, management of stray animals, complaints, etc. After collecting the necessary information, Titormos saves it and displays the ticket – request ID and sends a relevant confirmation email. The bot is also connected to chatgpt and can answer free form questions from citizens. Finally, in the future, there will be a different version for city administrators such as the Mayor, which will be able to connect the chatbot directly to the database of requests and also to the Human Recourses (HR) database via AI, so that it can accept questions in natural language and give administrative responses such as request statistics. Also, for citizens who do not have access to or do not use computers, a voice portal for Citizens who can also submit a request and receive relevant information has been created and is active.
Regional
Greece
EL
Municipality of Agrinio
Regional Government
General public services
General services.
Pilot
2.024
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
x
Self-reporting tool
Communication
Natural language processing
Generative AI
Machine learning
chatbot
01/01/1970
PSTW-1351
Fietsbarometer - barometer for cycleways safety
This is a project that involves adolescents who digitize and assess their daily home-to-school routes in different school neighborhoods in Flanders (Belgium). Through a web-based platform, called the “Bike Barometer” (“Fietsbarometer” in Dutch) the participants have the potential to offer detailed spatial insights about the local safety conditions in Flanders and in specific school neighborhoods. The example reported here is the Barometer of the Province of Antwerp.
Signalen - AI Categorization of Public Space Reports
Signalen is an open-source process and task system from, by and for municipalities, which automatically categorizes and routes reports about public space for processing by the appropriate handler. Signalen's software code is public, API-driven and generically applicable to any municipality in the Netherlands. With it a number of Dutch municipalities serving more than 2 million residents process more than 600,000 reports per year. Some of these municipalities are: Amsterdam, Woensdrecht, Zundert, Hertogenbosch, Alphen aan den Rijn, Almere, Heerlen, Urk, Groninger, Den Hoag, Utrecht, Bergen op Zoom and Waadhoeke. Personal data is not required or mandatory to report. On the other hand, someone reporting can leave their contact details if they wish civil servants inform them later on of the progress. This information is not used by the algorithm. On non-discrimination, given the algorithm recognises mainly Dutch words, if someone uses another language, another department will assess the report.
Local
Netherlands
NL
City of Amsterdam and other dutch municipalities
Local Government
General public services
General services.
Implemented
2.020
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://signalen.org/
Communication
Natural language processing
information retrieval
07/06/2023
PSTW-143
Amelia - Chatbot helping local residents find city services
Robot Amelia uses Artificial Intelligence, machine-learning algorithms, and a natural language processor to help local residents find city services.
Local
United Kingdom
UK
London Borough of Enfield
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
This pilot is part of the AI4Cities Project. C-in.City is the new generation of GHG information system, a service to monitor and manage all urban emissions (housing, commercial, public institutions, transportation, industries, power production) at 3 actionable scales (city, district, building/street) that helps city managers, citizens, NGOs and businesses to better understand local emissions, take individual and collective action, and implement transparent and science-based impact monitoring. The research on emissions monitoring is visualised in a panel of datasets available thanks to AI in one tool. The AI deployed is used for two main purposes: extracting activity signals from AOIs (Areas Of Interests) and inferring CO2 emissions from these signals. In short, the algorithms automatically detect when an industrial site is active (i.e. detecting fumes above a waste burning plant thanks to satellite imagery) and can infer from it the associated emissions.
Local
France
FR10
Greater Paris
Local Government
Environmental protection
Pollution abatement.
Pilot
2.020
Analysis, monitoring and regulatory research
Information analysis processes
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://ai4cities.eu/pilots/energy-c-incity
Perception
Computer vision
sensor network
07/06/2023
PSTW-1031
Carbon Intelligent City - Copenhagen
This pilot is part of the AI4Cities Project. C-in.City is the new generation of GHG information system, a service to monitor and manage all urban emissions (housing, commercial, public institutions, transportation, industries, power production) at 3 actionable scales (city, district, building/street) that helps city managers, citizens, NGOs and businesses to better understand local emissions, take individual and collective action, and implement transparent and science-based impact monitoring. The research on emissions monitoring is visualised in a panel of datasets available thanks to AI in one tool. The AI deployed is used for two main purposes: extracting activity signals from AOIs (Areas Of Interests) and inferring CO2 emissions from these signals. In short, the algorithms automatically detect when an industrial site is active (i.e. detecting fumes above a waste burning plant thanks to satellite imagery) and can infer from it the associated emissions.
Local
Denmark
DK01
City of Copenhagen
Local Government
Environmental protection
Pollution abatement.
Pilot
2.020
Analysis, monitoring and regulatory research
Information analysis processes
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
https://ai4cities.eu/pilots/energy-c-incity
Perception
Computer vision
sensor network
07/06/2023
PSTW-55
The Dublin Beat - Citizen opinion analysis
The Dublin Beat analyses citizen opinions in the Dublin Region for an overview of their most pressing concerns. Each month public tweets are collated by the AItext analytics platform Citibeats, whose Artificial Intelligence algorithms have been trained for understanding opinions in the local context of Dublin, assisting local authorities to better understand how local people feel about civic issues. The resulting analysis based on the gathered online data is presented via visual dashboards and through monthly reports provided online. The different reports give an overview of key issues such as how people feel about environmental issues, cultural events or city region developments expressed on the online media. The Dublin Beat can help local authorities to better understand how citizens feel about key issues and ensure that civic efforts and policy reflect the needs of communities. Local authorities employ other methods to ensure truly inclusive citizen engagement.
CSI, together with the University of Turin (Department of Medical Sciences - Medical Genetics for genomic data analysis and nephrolology field, Department of Clinical and Biological Sciences - Nephrology for the clinical scope related to the management of rare diseases), ISI Foundation and GenomSys company, is working on a research project that can help in the diagnosis and treatment of rare diseases: the project uses advanced technologies for the rapid and effective reading of the genome and develops artificial intelligence algorithm to analyse genetic data and provide information for the design of targeted diagnosis and treatment pathways.
Regional
Italy
IT
CSI Piemonte (Inhouse ICT of Regione Piemonte)
Regional Government
Health
R&D health.
In development
2.021
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
www.csipiemonte.it
Learning
Machine learning
Knowledge representation
01/01/1970
PSTW-1128
EU Exit: ID document check - applying for settled status in the UK after Brexit
The government implemented the registration system in the form of a smartphone app “EU Exit: ID document check” app. Applicants are required to complete five steps: firstly, they take an image of the personal details page of either their passport or identity card. Then, they must scan this document, via a smartphone, by using the NFC feature. The smartphone then reads the contents of the electronic chip stored inside modern identity documents. The applicant must then take a video and a photo of their face. Finally, she or he must answer an online questionnaire. If the applicant submits their National Identification number, automated processing of tax and other benefits is carried out. This algorithm-based verification process is done against records held by the tax authority (HMRC) and the Department for Work and Pensions (DWP). This is not a mandatory step, but official documentation says that applicants who submit their NI number will not have to provide further evidence.
IRIS - Support system for classification of citizen inquiries or complaints
IRIS is the service that allows citizens to report incidents or send complaints to the Barcelona City Council for resolution. Through IRIS, citizens can send information and queries, as well as complaints and suggestions for improvement. In this process, the citizen who reports the incident has to classify it using a tree of topics offered through the computer application. This classification is important because it is used to direct the incident directly to the responsible department, thus speeding up the response process. Errors in the thematic classification cause inadequate responses and delays in the resolution of incidents, thus affecting the quality of the service offered. As part of the IRIS service update project, a module called MARIO has been developed, based on machine learning algorithms to simplify the incident classification process for citizens. From the analysis of the free text describing the incident, MARIO suggests to the citizen the most likely categories where the incident fits because he/she chooses the most appropriate category. MARIO, which is currently being tested, minimizes the error rate in the initial classification of incidents by greatly reducing manual reclassification processes. Previously, 50% of the communications made needed to be reassigned; now, with MARIO, a hit rate of over 85% is being achieved.
Local
Spain
ES51
City of Barcelona
Local Government
General public services
General public services n.e.c.
Implemented
2.021
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
x
x
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Communication
Natural language processing
Machine learning
Searching
Q&A
11/10/2023
PSTW-237
Bürokratt – a virtual assistant for the Public Administration
A bureaucrat is not just an IT development project to create an Estonian national virtual assistant, i.e. a kratt interface for using services – although this may be necessary as an intermediate step. Instead, in the future, a bureaucrat will allow a person from any device and through a virtual assistant to get everything they need done in one communication session. The bureaucrat is thus an interoperable network of public sector kratts attached to national information systems, as well as those provided by the private sector, which, from the user's point of view, acts as a single channel for obtaining public direct and information services.
National
Estonia
EE
Information System Authority of the Republic of Estonia
Central-Government
General public services
General public services n.e.c.
In development
2.022
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://www.kratid.ee/kasutuslood-kratid
Communication
Natural language processing
Machine learning
Automated reasoning
automatic translation
01/01/1970
PSTW-669
Self-driving buses roll into Gothenburg
The Swedish city of Gothenburg is already looking towards the next chapter of mobility innovation when it comes to the public transport service provision. Transport operator Keolis has brought its autonomous electric self-driving shuttles to inaugurate a new 1.8-km line that will serve various points within the Lindholmen Industrial and Science Park. The two vehicles started operating on 18 January but for the time being this is a trial run of the service which will last 4.5 months.
City Concierge is an AI-powered city chatbot like a virtual Tourist Office in the mobile. It is there for the visitors 24/7 in Messenger and provides information about the city Point of Interests pf the city. It is possible for tourists and visitors to search information by category and location, or by keyword, or simply ask question about restaurants, entertainment, sightseeing, shopping, transportation and other
Local
Bulgaria
BG
UMNI
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Antonia - Automatic processing of requests of public services
The City Hall of Cluj has an AI system called Antonia, which handles the automatic processing of 64 types of forms for requesting public services. The also has a chatbot component so she can answer questions about how to fill the forms. In the second development stage of the AI-based technology, Antonia will become a hologram, this being the surprise-element for the next stage. This depends on how fast we will work out the technical aspects, so there is "no time estimation for the complete implementation" according o the local officials in Cluj-Napoca. The project is estimated to be completed within 30 months' period. Antonia has been launched in April 2018 and functions around the clock.
Local
Romania
RO11
Municipality of Cluj-Napoca
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Right now the chatbot can answer to questions reqarding family benefits, income support and coronavirus. Chatbot speaks finnish and swedish, and understands english (anwers are given in either finnish or swedish).
National
Finland
FI
Social Insurance Institution of Finland
Central-Government
Social protection
Social protection n.e.c.
Implemented
2.017
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Communication
Natural language processing
Searching
Automated reasoning
chatbot
11/10/2023
PSTW-467
MedicalGuide projec
Canton Aargau has been involved in the MedicalGuide project, which provides users with an initial assessment of disease by using a Chatbot
The Finnish Immigration Service has now introduced its new chatbot, Kamu. During the pilot stage, Kamu will answer frequently asked questions about processing times for applications and about the contact details of the Finnish Immigration Service. Kamu is available on all pages on the migri.fi website. You can ask questions in either English or Finnish.
National
Finland
FI
Finnish Immigration Service
Central-Government
Social protection
Social protection n.e.c.
Implemented
2.018
Public services and engagement
Service integration (various)
No
No
Artificial Intelligence
G2C
x
x
x
New chatbot answers questions about processing times and contact details
Communication
Natural language processing
Machine learning
chatbot
01/01/1970
PSTW-673
Creating an AI-driven mobile virtual assistant and common public services platform
The following solutions were explored/developed during the pilot: Mobile apps for IPS co-delivery; Virtual assistant technology powered by the AI and utilising the NLP; Customised co-creation roadmaps based on inGov co-creation roadmap; Customised co-creation governance model based on inGov co-creation governance model.
The Federal Foreign Office uses the data analytics tool PRE- VIEW– Prediction, Visualization, Early Warning (Auswärtiges Amt, 2019) to identify evolving international crises. The tool analyzes publicly available data related to current political, economic, and societal trends and conflicts in order to identify developing crises. According to the Federal Foreign Office, AI is used to process the data, which is then used to produce infographics and maps to help provide insights into the state of a particular conflict. Furthermore, trend analyses illustrate how political and societal developments may evolve. PREVIEW is deployed by the Federal Foreign Office’s Department S, which oversees international stabilization measures and crises engagement. The output also supports the civil servants in determining which steps to take next.
Experiment featuring a customer-centric service that combined through AI social, healthcare and education data of all Espoo's citizens to identify their needs. The starting point was to test whether AI can help target services preventively, the answer was a strong yes. In particular, the predictions were used to plan social and healthcare services to prevent social exclusion. “The starting point for the project was to test if AI can help to target preventive services to individuals at the right time so that the city can support individual wellbeing. Tieto and the City of Espoo jointly handled a huge data mass that consisted of client relationship data of the entire population of Espoo for the years 2002–2016 and covered approximately 520,000 people and more than 37 million customer contacts. All data processing included extreme measures to ensure information security. Personal data, such as names, identity numbers and addresses were concealed already during data collection. Encryption was used for all data transmission. Our experiment demonstrated that artificial intelligence and the utilisation of data could have a significant role in health care. With support from AI and data analytics, new service paths can be developed. Social and healthcare service professionals can also utilise AI in their daily work to support decision making.
Targeted employment programmes for unemployed citizens
To offer better and more targeted employment programmes to unemployed citizens, knowledge is needed about what creates the greatest effect and helps citizens the most. The purpose of the project is to reduce the period of unemployment and provide more beneficiary services to citizens. The algorithm provides a decision support tool for caseworkers to help them offer unemployed, job-ready citizens a targeted programme. The algorithm will make proposals for specific activities that can reduce the expected period of unemployment based on the individual citizen's information.
Local
Denmark
DK031
Odense Kommune
Local Government
Social protection
Unemployment.
Pilot
2.020
2021
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
Mail to AI Watch 15-05-2021
Planning
Planning and Scheduling
Automated reasoning
decision support
01/01/1970
PSTW-576
Sentilo BCN - Plataforma de Sensors i Actuadors de Barcelona
The Barcelona City Council, through the Municipal Institute of Informatics (IMI), started in November 2012 a project conceived for define the strategy and the necessary actions in order to achieve global positioning Barcelona as a reference in the field of Smart Cities. Sentilo is an open source sensor and actuator platform designed to fit in the Smart City architecture of any city who looks for openness and easy interoperability. It is built, used, and supported by an active and diverse community of cities and companies that believe that using open standards and free software is the first smart decision a Smart City should take. In order to avoid vertical solutions, Sentilo is designed as a cross platorm with the objective of sharing information between heterogeneous systems and to easily integrate legacy applications.
Local
Spain
ES51
City of Barcelona
Local Government
General public services
General services.
Implemented
2.012
Public services and engagement
Service integration (various)
No
Yes
Artificial Intelligence
G2C
x
x
x
x
x
x
IPSO DB
Communication
Natural language processing
Machine learning
internet of things
01/01/1970
PSTW-624
Estonia to give citizens Alexa-like access to public services
Because the Estonian government makes all its services available online, the system will be able to access all the information it needs about a citizen to process things such as applications for a new passport. After the citizen makes a voice request, the virtual assistant might ask for a fingerprint to verify their identity or a selfie to be used on a document, but beyond that applications for services such as renewing passports and registering births will be automated.
Lithuania Innovative solution for the assessment of the impact and damage of hydrometeorological phenomena
Using modern data processing and retrieval software with machine learning algorithms, the solution will enable the collection of information about hazardous phenomena from a variety of sources, perform climate monitoring and
forecasting, assess the impact of dangerous, natural and catastrophic phenomena and ensure that better alerts are delivered to the population and economic entities. The benefits will be better performance of climate monitoring and forecasting, better assessment of the impact of dangerous, natural and catastrophic phenomena and better alerts are delivered to the population and economic entities.
Develop a tool to help the establishment of craft businesses
Using data on craft businesses and data on the population, AI will make it possible to determine the chances of success of a craftsman in a territory and to better advise craftsmen in their choice of location.
Municipality Welcome Manager (L2B2 Service Robot) in Ludwigsburg
First Information and guide for citizens visiting the Service Department: The digital helper named "L2B2" welcomes in the entrance area of the Bürgerbüros, drives independently through the corridors and accompanies the visitors to the respective departments.
The Environmental Law General Provisions Act (Wabo) regulates the environmental permit. The municipality of The Hague needs a more efficient intake of the Wabo permits. The municipality wants to automate some of the tasks and make them more efficient through AI. The type of AI used is NLP.
Local
Netherlands
NL
Municipality of The Hague
Local Government
Environmental protection
Environmental protection n.e.c.
Pilot
2.020
Public services and engagement
Service integration (various)
No
No
Artificial Intelligence
G2C
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Communication
Natural language processing
Automated reasoning
text analysis
01/01/1970
PSTW-514
LAB BUPi - Creation of the Single Counter Laboratory Simplified Cadastral Information System
The reform shall consist of a pilot project for the creation of a simplified national cadastral information system which shall identify the land structure and land ownership of rural territories, the entry into operation of the Land Cover Monitoring System (SMOS) and the development of the BUPi (Digital Land Registry) platform, a physical and virtual counter with geo-referenced information on properties, that shall aggregate the information necessary for their registration and shall facilitate citizens’ interaction with the public administration within the scope of the land register. The reform also sets up the necessary legal framework to operationalise Investment RE-C08-i02: Rural property registry and Land Cover Monitoring System .
National
Portugal
PT
AMA (Agência para a Modernização Administrativa)
Central-Government
Housing and community amenities
Housing development.
Pilot
2.019
2020
Internal management
Internal primary processes
No
No
Artificial Intelligence
G2C
x
x
x
x
x
Communication
Natural Language Processing
Planning and Scheduling
text analysis
01/01/1970
PSTW-345
Artificial Intelligence Knowledge System for the judiciary searches for similar lawsuits
Knowledge system searches for similar lawsuits using entered text and gives the user the top 10 most similar lawsuits.
Regional
Netherlands
NL
District Court of East Brabant
Regional Government
Public order and safety
Law courts
Pilot
2.018
Internal management
Internal support processes
No
No
Artificial Intelligence
G2B
x
x
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Reasoning
Knowledge representation
Natural language processing
text classification
01/01/1970
PSTW-54
VDA - Voicebot on calls from Irish taxpayer on tax clearance
In 2018, Irish Revenue Commissioners began investigating the potential of Artificial Intelligence to provide a more efficient, effective experience for customers using their telephony services. This resulted in the implementation of a Virtual Digital Agent (VDA) designed to focus on a subset of calls from the Irish taxpayer relating to tax clearance. 1) taxpayers contact Irish Revenue tax clearance customer support asking how to apply for tax clearance; 2) enquiring what their current tax clearance status is; 3) requesting more information on expired, refused & rescinded tax clearance applications as well as just looking for information on tax clearance itself. Result is up to 50% of calls were handled from start to finish by the voicebot, 70% of first-time applicants engaged by voicebot submitting their application, 75% of tax clearance holders were able to retrieve their tax clearance access number (TCAN). Only in 10% of the calls, the calls were transferred to a human operator.
National
Ireland
IE
Irish Revenue Commissioners
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.018
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
x
https://www.youtube.com/watch?v=k9KUCq3Fdi8
Communication
Natural language processing
Machine learning
Audio processing
voice assistant
01/01/1970
PSTW-21
Erhvervsstyrelsen - Detection of errors in business statements
A project by the Danish Business Authority (Erhvervsstyrelsen) to use ML to identify fraud and highlight material errors in financial statements.
The aspired robotics solution will be able to determine the state of the sewer in order to identify segments where the sewer’s functionality has been compromised, either by sediments or by structural defects. Other required functionalities of the technology include sewer monitoring and collecting samples of water, air and sediments.
The aim of the project is to design and develop a partially automated, mobile assistance robot to support material transport through impassable terrain. The main areas of application are rescue operations in disaster scenarios, such as collapsed buildings, operations in impassable terrain, train or traffic accidents, and other major emergencies. The system to be developed should be able to follow a person through difficult terrain (gravel, obstacles, slopes), transport material needed for the rescue operation and react to the user's gestures, as well as provide feedback.
National
Germany
DE
Federal Agency for Technical Relief
Central-Government
Public order and safety
Public order and safety n.e.c.
Pilot
2.021
2025
Internal management
Internal primary processes
No
No
Artificial Intelligence
G2C
x
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Integration and Interaction
Robotics and Automation
Machine learning
11/10/2023
PSTW-229
Turing - Automatically control Flemish road lighting with local and current data
On Flemish motorways, road lighting is only on where it is needed. Specifically, the light goes out when possible and stays on when necessary. In 2011, the Agency for Roads and Traffic (AWV) developed a light vision in response to the European Union's climate target to reduce energy consumption by 20% by 2020. Since then, the number of illuminated road sections has fallen by almost half. Currently, the road lighting is controlled on the basis of historical traffic intensities and weather forecasts per province. However, local and real time data on traffic intensity and weather conditions are available. Through a combination of rule-based algorithms and machine learning, internal and external data sources can be integrated into the current system that controls the road lighting. AWV wishes to use this data to make a more accurate and location-based decision whether or not road lighting should be on on a specific road segment. In this way, AWV can make a more efficient contribution to climate objectives and to promoting road safety. Moreover, the system will also allow to significantly reduce the workload of the operators.
AI for public space notifications - Image recognition to analyse reports
In Dordrecht, residents can report defects and inconveniences in public space to the Wijklijn. These reports vary from loose pavement tiles, broken street lights to reporting dangerous situations. After the report arrives at the municipality, we look at how the situation can be solved. Dordrecht has investigated whether it will be possible in the future to use Artificial Intelligence (AI) to make reporting easier and the process more efficient.With photo a report of defects in the public space; image recognition helps to analyze the report.
Local
Netherlands
NL
Municipality of Dordrecht
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Pilot
2.018
Enforcement
Smart Recognition processes
No
No
Artificial Intelligence
G2C
x
x
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Perception
Computer vision
Machine learning
01/01/1970
PSTW-360
Pilot Youth Policy Rotterdam - Influencing factors socio-emotional development of young people
By linking datasets and using a combination of statistical methods and machine learning, we explore which factors determine the socio-emotional development of young people.
Local
Netherlands
NL
Municipality of Rotterdam, TNO and BZK
Local Government
Social protection
Social protection n.e.c.
Pilot
2.019
Analysis, monitoring and regulatory research
Prediction and planning
No
No
Artificial Intelligence
G2C
x
x
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Planning
Planning and Scheduling
Machine learning
01/01/1970
PSTW-457
Checks for financial support - AI for checking companies requesting support
The Public Employment Services is actively working and experimenting with AI. ADM is used to perform financial checks on companies seeking financial support to help them employ the long-term unemployed. The eligibility of a company to receive this support is automatically rated: green = eligible for support, yellow = needs an additional manual check, and red = not eligible). There are limited possibilities for caseworkers to challenge the automated decision in this specific area.
Nacka municipality is part of Stockholm county, and it has developed and implemented a so-called robot employee called Yasmine. The robot is part of an RPA service platform that was provided by the Norwegian company Basefarm. So far, the administration of Nacka has automated three processes. Two of these are in the so-called Establishment Unit (Etablering), and the other is in the Work and Business Unit. The Establishment Unit is responsible for economic support, unaccompanied children and minors (refugees). The Work and Business Unit administers adult education, societal orientation, and labor market initiatives
Local
Sweden
SE
Nacka municipality
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
MILITARY CARE (improve customer satisfaction through cognitive models of text and voice)
MILITARY CARE - AIcare aims to improve customer and business satisfaction through cognitive models of text and voice.
National
Portugal
PT
AMA (Agência para a Modernização Administrativa)
Central-Government
Defence
Military defence.
Implemented
2.019
2020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2B
x
x
x
Perception
Audio processing
Natural language processing
01/01/1970
PSTW-488
HEALTHI.CO: Factors for promoting dialogue and healthy behaviors in online school communities.
This research proposal is concerned with using data to better understand the underlying dynamics of social conversation online within school communities – that is, secondary school students, and their teachers. This new understanding can be used in different ways, particularly in long term educational programmes, to foster more empathetic, inclusive, civil and healthy dialogues online.
P.IA.ES - Modeling and prediction of failure and school dropout in Higher Education
This work aims to contribute to the reduction of academic failure at higher education, by using machine learning techniques to identify students at risk of failure at an early stage of their academic path, so that strategies to support them can be put into place. A dataset from a higher education institution is used to build classification models to predict academic performance of students. The dataset includes information known at the time of student’s enrollment – academic path, demographics and social-economic factors. The problem is formulated as a three category classification task, in which there’s a strong imbalance towards one of the classes. Algorithms to promote class balancing with synthetic oversampling are tested, and classification models are trained and evaluated, both with standard machine learning algorithms and state of the art boosting algorithms. Our results show that boosting algorithms respond better to the specific classification task than standard methods. However, even these state of the art algorithms fall short in correctly identifying the majority of cases in one of the minority classes. Future directions of this study include the addition of information regarding student’s first year performance, such as academic grades from the first academic semesters.
The objective of the MasterMind project was “to make high quality treatment for depression more widely available for adults suffering from the illness by the use of ICT” (http://mastermind-project.eu). Collaboration by 23 partners framed in a European H2020 project was created in order to accomplish this objective. The innovation in this project was a Computerised Cognitive Behaviour Therapy (CCBT) for patients with mild and moderate depression. It allows people with these illnesses to receive distance therapy, involving fewer face-to-face appointments with health professionals. The main component of the innovation is a web application “Overcome your depression”, which can be used through a computer, tablet or smartphone. By using this application, patients can receive therapy in six modules in the form of text, videos, images, graphs, etc. The application makes patients perform tests, which then serve to communicate the evolution of their illness to the health professionals. The health professionals check these tests periodically and receive an alarm if a patient’s results are a cause for concern.
Local
Spain
ES2
Osakidetza (Servicio Vasco de Salud/Basque Health System)
Local Government
Health
Public health services.
Pilot
2.015
2017
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
https://tropico-project.eu/case-studies/
Reasoning
Knowledge representation
Automated reasoning
01/01/1970
PSTW-1205
MIM - Machine learning in the Mammography programme
The idea behind the MIM project is to develop an algorithm that uses artificial intelligence (deep learning) to learn to recognize complex patterns and make independent decisions. By combining mammograms, associated screening information and any breast cancer diagnoses, the algorithm will learn to recognize patterns in the mammograms that may indicate breast cancer or breast disease, and mammograms without signs of disease. In this way, the method can be used to develop automatic systems that can pick out screening mammograms that are highly likely to show no signs of breast cancer.
National
Norway
NO
Cancer Registry Norway
Regional Government
Health
R&D health.
Pilot
2.018
2022
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
https://data.norge.no/kunstig-intelligens
Learning
Machine learning
Deep learning
01/01/1970
PSTW-1294
Algorithmic Transparency Standard
The Algorithmic Transparency Standard is a set of shared categories of information that cities can use to help people understand how the algorithms used in local administrations work, and what their purpose is. It is publicly available for administration to use and download in the .cvs and Excel format. This will allow people to compare different algorithms within and across cities. This standard was created to support documenting decisions and assumptions for both management of artificial intelligence (AI) governance and provide meaningful transparency in a standardized way.
Across Countries
European Union
EU
City of Amsterdam, Barcelona, Brussels, Eindhoven, Mannheim, Rotterdam and Sofia
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Pilot
2.022
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
x
x
x
https://gouai.cidob.org/atlas/
Ethics and Philosophy
AI Services
01/01/1970
PSTW-1298
Public Eye: AI crowd monitoring system in Amsterdam
Public Eye maps the crowds in a few places in Amsterdam (e.g., Arena Boulevard, Marineterrein and Dam Square). There are cameras that are linked to a server of the municipality. An algorithm on the server analyses through the images how many people are present in the location or how many biking parks are filled. Then the information, but not the images, are shown on the publicly available platform for citizens' access. The information about the number of people is also forwarded to municipal employees, who can use the count to better regulate traffic. The ambition is to realize this for all locations.
Consortium completes key stage of autonomous tram depot project
The research project aims to develop a digital depot based on self-driving trams and demonstrate autonomous service functions, such as moving a tram through a washing facility to a siding. Siemens Mobility and ViP Verkehrsbetrieb Potsdam has completed a demonstration test of the Autonomous Tram in Depot research project (AStriD). The three-year research and development project is being implemented at the depot operated by Verkehrsbetrieb Potsdam and is supported by the Federal Ministry of Transport and Digital Infrastructure (BMVI) as part of its Modernity Fund (mFund).
National Old Age Insurance Fund (Cnav) is working with "Aria", a chatbot for aswering requests made by retirees, . This chatbot can tell you the amount of income you have declared to the tax authorities, the calendar of next payments, what the direct debit will consist of, etc. , "Aria will be able to speak, will respond to non-retirees and will be able to tackle a larger number of subjects".
National
France
FR
National Old Age Insurance Fund (Cnav)
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
ClaudIA - Chatbot for the invoicing portal for purchases by public authorities
Chatbot Claudia has been setup by the AIFE (State Financial IT Agency) for users of the information system Chorus of SME's and microbusinesses. This chatbot, is based on IBM's Watson Artificial Intelligence technology. The AIFE indicates that the number of support contacts "has not stopped increasing, going from 20,000 per month to more than 40,000 (with a peak at 55,000 in January) all channels combined (phone calls, files, live chat , emails, avatar, chatbot). The requests handled manually by level 1 support operators now represent a volume of more than 15,000 per month (18,000 in January!). The AIFE anticipates a doubling of support requests each year. Before Claudia, only half of the requests were processed automatically. Today, the rate has risen to 65%. “In two months, ClaudIA handled more than 10,000 conversations, with an average of 3.5 interactions per conversation,” says AIFE. Claudia takes the user context into account and knows how to detect inappropriate interactions.
National
France
FR
State Financial IT Agency
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
In 2018, the Register of Enterprises of Latvia introduced the Chatbot UNA (Future assistant for entrepreneurs - FAE) to answer frequently asked questions regarding the process of enterprise registration. Chatbot is available 24/7 and thus able to make communication between citizens and the state accessible and friendly. UNA is available on both the website of the Register of Enterprises as well as on the Facebook page as part of the Facebook messenger application. UNA is able to answer frequently asked questions about the registration of their businesses as well as the liquidation, merchants, companies and organizations. If citizens already have an application in progress, they are also able to ask about the progress of their documents. UNA only works in the Latvian language. According to the first performance indicators, 44% of the questions asked on UNA are considered to be general of nature and easily taken care of by the Chatbot.
Chatbot - Offer residents and tourism information and services from the administration
Using a prototype, the city of St.Gallen tested the potential and acceptance of a chatbot in order to offer residents and tourism better access to information and services from the administration. By the end of 2018, various topics had been mapped in the chatbot. This includes the event calendar, information on parking spaces, the query of mobility information, the use of eUmzugCH, the query of information on disposal and the input of feedback to the programmers. The implementation in its own software environment, more extensive dialog options, the connection to the residence confirmation, the debt enforcement register extract and the extension of the deadline in the area of taxes will take place in 2019. Linked to this is the public test of the chatbot and subsequently a revision based on the knowledge gained from the public test. The bot is integrated in the urban app (mobileSG) and on the city's website.
Local
Switzerland
CH
Municipality of St.Gallen
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Chatbot - Security institution information, find the ones entitled to premium reductions
In the Canton of St. Gallen, a Chatbot has been developed in the social security institution (SVA) organization to provide information for citizens about their services .
NeRo Chatbot - Chatbot for clients of maternity services
NeRo is an around-the-clock chatbot that answers questions (in Finnish) associated with the health care of infants and small children. NeRo can provide you with information about health issues related to either pregnancy or children’s growth and development. The chatbot can also answer questions about children’s dental care, speech development and nutrition.
Local
Finland
FI1B
City of Helsinki
Local Government
Health
Health n.e.c.
Implemented
2.019
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Communication
Natural language processing
Machine learning
chatbot
11/10/2023
PSTW-195
AI assisted chat service - Chatbot for tax purposes
AI assisted chat service provided by Finnish Tax Administration that offers:
- Service for individual tax payers: virtual agent advises in most common tax matters. During office hours human agent can be invited into conversation if necessary.
- Customer gets a quick reply regardless of time, without any telephone expenses or identification required.
- AI assisted chat service uses NLP (natural language processing) to translate customer messages into a format that can be understood by a virtual agent.
- AI solution is developed by commercial organisation, whereas governing the virtual agent (AI training, monitoring, and content creation) is done by Finnish Tax Administration chat-product team.
National
Finland
FI
Finnish Tax Administration
Central-Government
Economic affairs
Economic affairs n.e.c
Implemented
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Communication
Natural language processing
Searching
chatbot
11/10/2023
PSTW-302
AI Chatbot Robin - Answer questions about business transfers
Chatbot Robin is the sequel to the Pilot Watson. Chatbot Robin went live in April 2019. Chatbot Robin is a virtual agent that can answer questions about agricultural business transfers.
National
Netherlands
NL
Netherlands Enterprise Agency
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.019
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Communication
Natural language processing
Searching
AI Services
chatbot
01/01/1970
PSTW-413
Kąty Wrocławskie Virtual clerk
This project aims to implement advanced public e-services in the municipality and commune administration, with the aim of improving and rationalizing work and communication between the office and the citizen. The eK@ty Wrocławskie mobile application is an assistant to an inhabitant of the Kąty Wrocławskie commune.
Local
Poland
PL
Municipality of Kąty Wrocławskie
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.021
Public services and engagement
Engagement management
No
No
Artificial Intelligence
G2C
x
x
https://www.gov.pl/web/cyfryzacja/mapa-innowacji
Communication
Natural language processing
Searching
chatbot
01/01/1970
PSTW-598
Parking chatbot
The parking chatbot is a customer service channel of city’s parking services. Service provides automated answers to the parking-related questions of city residents and visitors. The service is available at the city parking website of Helsinki.
Local
Finland
FI1B
City of Helsinki
Local Government
Economic affairs
Transport
Implemented
2.018
Public services and engagement
Service integration (various)
No
No
Artificial Intelligence
G2C
x
x
IPSO DB
Communication
Natural language processing
Machine learning
Optimisation
chatbot
01/01/1970
PSTW-599
Health center chatbot
The chatbot provides health and illness-related advice easily without queuing. Chatbot directs the users to the right digital health services and advises on questions related to dental, mental health, substance abuse and social services. The service answers the most frequently asked questions and direct to the sources of reliable information based on users’ needs. The chatbot is integrated with other digital services of health centres. Through it, customers may be directed to, for example, the city’s digital services, Omaolo, Omakanta or social counselling chat. The service enables transactions around the clock anonymously and securely. All health centers use the service in Helsinki, and it covers all services of the health centers. The clinical guidance of the service is based on national practices of evidence-based treatments, the Current Care guidelines and the emergency care evaluation criteria. The service utilises natural language processing based Artificial Intelligence to analyse the searches entered by the customer and to identify the intended service need, as well as to find the respective instructions. The service expands the accessibility of health center services by enabling remote transactions around the clock. The service enhances the customer experience of digital services for health centers by providing a single channel for all digital services. The service streamlines the service production of health centers by automating the service on the frequently asked questions and by the automated collection of background information. The service also has positive effects on harmonising the quality of the service and on improving the employee experience of counselling services.
Local
Finland
FI1B
Helsinki City Hospital
Local Government
Health
Public health services.
Implemented
2.019
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
IPSO DB
Reasoning
Automated reasoning
Natural language processing
chatbot
01/01/1970
PSTW-668
Aurora, the new virtual assistant of the South East Tuscany AUSL is online
The South East Tuscany USL Company inaugurates one of the first projects in Europe of artificial intelligence applied to the world of information communication. Through the dedicated banner, it is possible for any citizen of the provinces of Siena, Arezzo and Grosseto to receive information services simply by querying the Aurora 3D avatar directly from a smartphone or PC.
Regional
Italy
IT
Azienda USL Toscana Sud Est (Regional Health structure)
Automation of subtitling videos and audios - Improving accessibility of public websites
The solution relates to the directive (EU) 2016/2102 of the European Parliament and of the Council of 26 October 2016 on the accessibility of the websites and mobile applications of public sector bodies. The technical solution is intended for subtitling public and internal videos and audios by utilizing Microsoft's Azure cloud computing technology - speech-to-text services and text analytics. The subtitling service is automated in such a way that the user downloads the recording to be subtitled via the web interface and receives an e-mail when the subtitling is completed. The subtitle file (.srt) is returned to the user.
National
Finland
FI
Finnish Tax Administration (FTA)
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.020
Internal management
Internal primary processes
No
No
Artificial Intelligence
G2C
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Perception
Audio processing
Machine learning
11/10/2023
PSTW-556
Smart Dementia project
The eHealth technology (a wristwatch and app with which the whereabouts of the patients can be traced) is used to provide elderly people with Alzheimer more freedom. The technology enables the nurses and the institution to trace the elderly better, thus giving them more freedom to move around. The technology fits in a policy of the organisation to work with life cycles. This means that a team decides how much freedom a specific patient can have. The aim is to grant as much freedom as possible, given the patient health and mental situation. If people can move around more, they stay fit longer both physically and mentally, the organisation argues. The organisation also emphasizes that the ICT tool is above all a supportive tool and that the most important element still is the (risk) assessment of the patient. The eHealth innovation was an example of how such technologies can support health professionals, as personal health data is collected, stored and communicated between relevant stakeholders. In general, in health technology, patient data is used to provide more precise and personalized health care (e.g. personalized interventions, predicating and preventing diseases). In this specific case of health technology, a mobile device, mobile sensor, and wearables were used to increase the health and wellbeing of users. This device with sensor technology helps Alzheimer patients to walk around more freely again in a nursing home and outside the nursing home through GPS tracking, which would otherwise be impossible for those suffering from dementia. In that sense, the ICT technology is important and vital for the innovation.
Local
Netherlands
NL
Tante Louise
Local Government
Health
Public health services.
Pilot
2.021
Public services and engagement
Service integration (various)
No
No
Artificial Intelligence
G2C
x
x
https://tropico-project.eu/case-studies/
Perception
Audio processing
Machine learning
01/01/1970
PSTW-557
Track AI
The objective of the Track AI project is to incorporate artificial intelligence (AI) into the DIVE medical device so it can “estimate the probability of the patient having a certain pathology”. The innovation was created due to the difficulty in exploring the visual function (e.g. vision) among children, but it can be used for both collaborative and non-collaborative patients (i.e. patients who are able to collaborate with physicians as opposed to patients – such as children – who are unable to collaborate with physicians). The partnership allows technology to be shared between organisations and combines their experience in the health and technological fields. The innovation in this project consists of the development of a specific app that uses AI in a Huawei P30 mobile phone in order to analyse data from visual explorations using the DIVE-Medical device. This innovation helps physicians to determine whether or not a patient has a visual impairment by comparing patient gaze patterns with the database generated by previous diagnoses (which can be accessed online and offline). In some cases, it also makes it possible to estimate the probability of a particular pathology. The project is focused on non-collaborative patients, but it can also be used in collaborative patients (i.e. patients that are able to collaborate with physicians as opposed to patients – such as children – who are unable to collaborate with physicians).
Local
Spain
ES2
Miguel Servet Hospital (Zaragoza, Spain)
Local Government
Health
Public health services.
Pilot
2.018
2019
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
https://tropico-project.eu/case-studies/
Perception
Computer vision
Machine learning
01/01/1970
PSTW-559
MasterMind - Southern Denmark
The objective of the MasterMind project was “to make high quality treatment for depression more widely available for adults suffering from the illness by the use of ICT” (http://mastermind-project.eu). Collaboration by 23 partners framed in a European H2020 project was created in order to accomplish this objective. The innovation in this project was a Computerised Cognitive Behaviour Therapy (CCBT) for patients with mild and moderate depression. It allows people with these illnesses to receive distance therapy, involving fewer face-to-face appointments with health professionals. The main component of the innovation is a web application “Overcome your depression”, which can be used through a computer, tablet or smartphone. By using this application, patients can receive therapy in six modules in the form of text, videos, images, graphs, etc. The application makes patients perform tests, which then serve to communicate the evolution of their illness to the health professionals. The health professionals check these tests periodically and receive an alarm if a patient’s results are a cause for concern.
Regional
Denmark
DK03
Region of Southern Denmark
Regional Government
Health
Public health services.
Pilot
2.015
2017
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
https://tropico-project.eu/case-studies/
Reasoning
Knowledge representation
Automated reasoning
01/01/1970
PSTW-25
e-Residency - Chatbot for customer assistance
Artificial Intelligence (AI) customer service assistant for the Republic of Estonia’s e-Residency organisation. Together, the organisation decided to tackle the challenge of increasing customer support response time without hiring additional people. The solution is simple , i.e. an Artificial Intelligence chatbot with a live-chat interface.
The virtual assistant called ITI, created in collaboration with the Estonian start-up AlphaBlues, knows the population of Estonia, the size of the pay gap, average wages and consumer price changes, and many other things. Iti also assists the data provider, whose typical questions are related to activities in the electronic data submission portal and filling in questionnaires. If Iti does not know the answer, it will redirect the query based on its content to either the customer support specialist of the data provider or the user of the statistics. Iti has obtained its knowledge from the questions sent through online chats over one year and gets wiser with every query. ITI helps to find information faster thus allowing the customer support of Statistics Estonia to focus on answering more complicated and detailed queries.
The City of Oulu has started a project co-financed by Business Finland, which aims to build a chatbot service, OuluBot. The goal for OuluBot is to become a virtual assistant in all everyday issues, whether they concern tourism, companies or city services. The answer or guidance to an electronic service should be provided regardless of time, place, medium and language. Technically, chatbot retrieves information e.g. relevant City of Oulu websites, chat history, guidance information, databases, and other information sources. OuluBot is available 24/7 service. independent of working hours. If the user is looking for information that OuluBot would not be able to answer, then during office hours the discussion could be directed to the City of Oulu chat service (Oulu10 general counseling customer service).
Local
Finland
FI
Municipality of Oulu
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
https://www.ouka.fi/oulu/oulubot/
Communication
Natural language processing
Searching
chatbot
01/01/1970
PSTW-42
RenoiRH - Chatbot in HR management rules to facilitate access
Interministerial Center for IT Services Relating to Human Resources (CISIRH) has developed a chatbot specialized in HR management rules to facilitate access to information. The public service includes a large number of standards, nomenclatures and written rules such as those relating to the mobility of agents and their career development.
National
France
FR
Interministerial Center for IT Services Relating to Human Resources
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Pilot
2.018
Internal management
Internal support processes
No
No
Artificial Intelligence
G2C
x
x
x
x
https://www.youtube.com/watch?v=J0cFEJh8f70
Communication
Natural language processing
Knowledge representation
chatbot
01/01/1970
PSTW-52
Govbot - Administrative search engine for citizens' enquiries
GovBot which is in use with the administrative search engine of the administration of the German State North Rhine-Westphalia. The search engine for administrative matters guarantees citizens easy and clear access to information. It indexes all websites of the state of North Rhine-Westphalia, the regional associations, many chambers, all districts and municipalities of the state of North Rhine-Westphalia and thus accesses over 12 million individual websites in a search index. Using their own search interface, users can search for administrative terms and problems, are pointed out to correct administrative terms with search word recommendations and, if necessary, are given specific responsibilities for a problem. The full text search result - broken down by administrative level - completes the offer, with a map section showing the specific location of the relevant authority. https://www.verwaltungssuchmaschine.nrw/
Regional
Germany
DE
Ministerium für Inneres und Kommunales des Landes Nordrhein-Westfalen
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Toms - Chatbot facilitating customer communication with the State Revenue service
A Chatbot facilitating customer communication with the State Revenue service (working time, locations, etc.), registration of economic operators, use of the Electronic Declaration System (access facilities, general issues on EDs), annual income statement and eligible expenditure (mandatory submission, types of eligible expenditure, repayment and payment deadlines), as well as the mobile application “Eligible expenditure”. Consulting is availability 24/7, freeing employees from answering typical questions.
National
Latvia
LT
State Revenue Service
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
The City Council of Sant Just Desvern, a Catalan municipality in the Baix Llobregat region with 17,200 inhabitants, has presented a chatbot with which this administration aims to streamline its processes and boost relations with its citizens. The first two available chatbots take care of the previous appointments of the City Council, so that waits will be reduced and the management of the registration flyers.
Local
Spain
ES
Municipality of Sant Just Desvern
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
The Social Insurance Aargau SVA has introduced the Maxi Chatbot in order to reduce the number of questions received daily. The chatbot can answer general questions without sensitive data content. In the future, all further emails should run through automated and intelligent (learning) triage and further processing. To do this, requests with personal data must be correctly triaged by the chatbot and, depending on the type of request, directly trigger a process on the specialist application. With the introduction of the "Maxi" chatbot, remedial measures were taken and mail inquiries reduced by around 30%.
The new social media tool, which is powered by Artificial Intelligence, can "chat" with customers using Messenger and instantly tell them when their bus is due to arrive, provide service updates and Tube maps. The TravelBot can also link direct to a customer service agent, making customer service queries easier than ever.
Sia - Online notification system of the municipality of Amsterdam
SIA is an online notification system of the municipality of Amsterdam. Reports can be made in the following situations: If something needs to be made or cleaned up on the street or in a park, in case of a dangerous traffic situation or nuisance of persons and restaurants.
Local
Netherlands
NL
Municipality of Amsterdam
Local Government
Environmental protection
Waste management.
Implemented
2.020
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Communication
Natural language processing
Automated reasoning
01/01/1970
PSTW-57
Borbot - Virtual assistant for museums
Borbot (acronym for Bourbons and Robotics) is a virtual assistant, adopted by the National Museum of the Royal Palace of Caserta, which through machine learning techniques is able to answer user questions, providing detailed tourist information and news about the monument. The mobile system supports the Museum's front office service and allows customer service staff to concentrate on the services with greater added value.
The institution of direct administration under the authority of the Minister for Culture, the Culture Information Systems Centre (hereinafter - KISC), has commenced a single development of a virtual assistant platform of State administration. KISC has created and further developed the language technology platform for public administration, Hugo.lv. The Hugo.lv website provides machine translation, speech recognition and synthesis. National regulatory authorities will have to face challenges when they start using a virtual assistant, as they will have to learn to adapt it to their needs. It should be noted that regulatory frameworks often change and institutions will have to maintain an up-to-date virtual assistant knowledge base. This is a NLP Chatbot for Government which provides Software as a Service (SaaP) possibility on a shared platform.
TreC + consolidates and puts into service the trials that have been tested in recent years in Trentino together with citizens and health professionals. Access to online health services is guaranteed by a single platform and a single app in which a constant exchange of data produced by patients and doctors flows and in which the level of care that is offered to citizens remains unchanged, constant and Safe. It integrates the innovative vision for the Artificial Intelligence of the future with the collaboration wiith FBK research center. The design and experimenting of the part of TreC + that wants to become increasingly intelligent and integrated with applications such as virtual coaches, predictive models, chatbots, etc., which use artificial intelligence has been made with FBK research center. The TreC + ecosystem is based on Open Source technologies and thanks to an open architectural model it is possible to connect proprietary tools and solutions while keeping the health data at the center of the system, rigorously kept in the APSS archives and under public control, so as to guarantee the citizen security, protection and full availability of data concerning him. Thanks to the system specifications, the solution developed by APSS is now reusable in other healthcare contexts (regional / provincial / ASL and hospitals). It can be integrated with the management systems in use at other regional healthcare companies (CUP, FSE, Payments, existing telemonitoring systems), thus activating a television service extended to the entire population.
Automatic decision making of the Electronic Declaration System of the State Revenue Service
The Electronic Declaration System (EDS) of the State Revenue Service shall use the decision-making automating elements by automatically verifying the submitted declarations. It allows the approval of a declaration up to 2/3 which does not reveal non-compliance and thus allows experts to devote time only to checking declarations where non-compliance has been detected. In the future, there is great potential for ML solutions that will help to explore the client of public administration by promoting more efficient services for citizens, reducing the shadow economy and money laundering. At: https://www.vid.gov.lv/en/electronic-declaration-system "EDS provides automated verification of correctness of document completion and information of the customer about results."
National
Latvia
LT
State Revenue Service
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Implemented
2.018
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
Mail to AI Watch (15-5-2020)
Learning
Machine learning
Automated reasoning
data risk indicator
01/01/1970
PSTW-87
Lanekassen - Improve control on students with loan payments and identification
The Norwegian student loan fund (Lånekassen) has for the first time used Artificial Intelligence (AI) to select account controls. It provided twice as many revelations of cheating. The book check is done among students who state that they live away from home, since only students who do not live with their parents can get the loan back from grants. Lånekassen’s book check in 2018 included 25,000 students. 15,000 were picked out by Artificial Intelligence (machine learning), while 10,000 were picked out by random selection (control group). The results showed that Artificial Intelligence made it easier to find those who are not really living away from home, said the Loan Fund. 5.5% in the control group and 11.6% in the machine learning group did not pass the book check. It shows that the machine learning selection has been twice as effective as the random selection in finding students who have given us incorrect information about housing
National
Norway
NO
Norwegian student loan fund (Lånekassen)
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Forensic Image Recognition (FIRE) - Recognition of containers that have illegal cargo
The Netherlands Forensic Institute (NFI) is best known for the most visible part of forensic research. The men and women in white suits. “But our field of work goes much further than that,” says Lisanne van Dijk. In principle, we have three core tasks. Firstly, investigating cases for the police and the prosecution, we also do the research and development to support case investigation. Finally, we are responsible for knowledge exchange and education on these topics.’
The NFI also provides data support to other parts of the government. ‘The classical statistics that belong to our field are well suited to that. Also in combination with AI. “Explainable AI” is especially important, so AI explaining exactly which data is used and how, for example, it is weighed in an algorithm.
One of the AI projects at NFI is the automatic recognition of images. The FIRE (Forensic Image Recognition) system is designed to relieve detection staff. ‘You can of course imagine everything in image recognition, but before we can use this everywhere we start with a few framed fields. For example, the recognition of sea containers: can we learn AI to recognise containers that have potentially illegal cargo? For the recognition of this image, huge amounts of data carriers and data are analysed. “If this succeeds, we might be able to bring people’s work back to a few hours with the help of AI,” says Van Dijk enthusiastically. But it’s not that far. ‘We need to first look at how we can compile, store and use datasets. There is, of course, a legal challenge. It is very good that we are bound by rules, but it would be interesting if we could find a solution that all security services can use together.
National
Netherlands
NL
Netherlands Forensic Institute (NFI)
Central-Government
Public order and safety
Police Services
Pilot
2.020
Enforcement
Smart Recognition processes
No
No
Artificial Intelligence
G2B
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Perception
Computer vision
Machine learning
image processing
01/01/1970
PSTW-880
Automatic classification of citizens' issues or solecituds
Pilot test of how one of the disciplines of artificial intelligence, Machine Learning, can be applied to create a system of automatic classification of all those applications submitted as generic instances (from the EACAT and e-TRAM services) through the application of predictive algorithms.
Estonia crowdsources speech data for the preservation of the Estonian language
Estonia’s Ministry of Economic Affairs and Communications (MKM) and the State Information System Agency announced a “Donate Your Speech” campaign, with the goal of preserving the Estonian language and developing language technologies to bolster the delivery of public services for Estonian speakers. By creating an open database of 4,000 hours of spoken language, the nation aims to support companies, public sector institutions and research institutions in creating services and products based on speech technology. Speech technology can be used to record meetings, convert interviews into written form, and generate automatic subtitles to media. The campaign aims to promote the uptake of language technologies in public sector information systems as well as the private sector, including speech recognition technology, real-time subtitling solutions, and text to speech software. This will improve access to services and provide better ways for Estonians to interact with public and private sector services.
National
Estonia
EE
Ministry of Economic Affairs and Communications (MKM)
Flemish Infoline - Automatic classification of incoming phone calls
NLP is used to automatically classify incoming telephone questions at the 1700 (Flemish Infoline), to integrally transcribe and document the conversations, and to suggest answers. Informatie Vlaanderen use it to detect and categorise the incoming questions faster and more 'finely-meshed', and also integrate this 'finely-meshed' into the editorial management. In this way, the answers can be suggested more quickly, more adequately and also more 'automatically' to the answer provider, regardless of the chosen communication channel (oral or written). In essence, the project aims at two objectives: (1) the quicker and more efficient capturing and categorising of the question, and (2) the quicker and more efficient forwarding of the 'correctly captioned' question to the 'correct' answer provider with the 'correct' skills, whereby a valid and standardised answer (suggestion) is immediately sent along with it (so that the answer provider does not have to look up the intended answer script).
Regional
Belgium
BE2
Information Flanders, Belgium
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Project PIERINO (Platform for the Extraction and Retrieval of Online Information)
The Pierino project (PIattaforma for the Extraction and Retrieval of Online Information) was curated by the Digital Humanities research group of the Bruno Kessler and Tommaso Caselli Foundation of the Vrije Universiteit Amsterdam and led to the creation of a platform for the automatic analysis of linguistic data, which works through AI techniques of semantic analysis and modules for the automatic processing of natural language. The platform was used for the first time by the Ministry of Education to analyze the data of the public consultation "La buona scuola" and made it possible to process and synthesize 270 thousand comments in less than a week, making it possible to significantly reduce analysis times questionnaires. The platform has been designed in such a way as to be as flexible as possible to quickly process data from future consultations.
National
Italy
IT
Ministry of Education
Central-Government
Education
R&D education.
Pilot
2.014
Analysis, monitoring and regulatory research
Information analysis processes
No
No
Artificial Intelligence
G2C
x
x
x
https://dh.fbk.eu/news/collaboration-miur
Communication
Natural language processing
Knowledge representation
text analysis
01/01/1970
PSTW-129
AIDA - Interpreting detailed plan provisions
In order to more quickly digitize Sweden's existing detail plans and get closer to a national plan database, the project developed and implemented an Artificial Intelligence system to work on interpreting detail plan regulations according to the National Board of Housing, Building and Planning's standard. The goal was to reduce the digitization process by 20%, which would, taking into account all the detailed plans to be digitized, would save years of working time. In addition, both direct and indirect effects would have contributed to Smart Built Environment's goals.
National
Sweden
SE
Örebro Municipality
Local Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Aurea Imaging wants to develop image analysis technology for drones/Unmanned Aerial Vehicles (UAVs) to use them in the agricultural sector in detecting anomalies. These abnormalities may indicate harmful organisms. In a testing ground of the Dutch Food and Consumer Product Safety Authority (NVWA), we investigate the feasibility of this technology.
National
Netherlands
NL
Dutch Food and Consumer Product Safety Authority (NVWA)
Central-Government
Economic affairs
Agriculture, forestry, fishing and hunting
Pilot
2.021
Analysis, monitoring and regulatory research
Information analysis processes
No
No
Artificial Intelligence
G2B
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Integration and Interaction
Robotics and Automation
Computer vision
unmanned vehicle
01/01/1970
PSTW-12
Jobnet - Reskilling, upskilling and retraining of people
The Flemish Employment and Vocational Training Service (VDAB) is using AI since 2018 which assists in the reskilling, upskilling and retraining of people. The software is called Jobnet and is the combination of a variety of different AI-models into one big AI-model. With the AI, citizens can see which jobs are fitting to their skills, which relevant skills they still lack, starting from their own experience combined with job market data.
Regional
Belgium
BE
Vlaamse Dienst voor Arbeidsbemiddeling en Beroepsopleiding
Sensors analyse the water consumption in order to optimise energy consumption in Aarhus municipality. AI will be used to analyze the big amounts of data from sensors about water consumption and to monitor its quality.
The Estonian Unemployment Insurance Fund uses profiling to identify the position that suits a job seeker the most. Based on machine-learning software, the solution assists people by suggesting job positions according to their qualifications. The application (OTT) provides job seekers with better and more accurate suggestions on where they could work and offers customized recommendations on re-education and reskilling. OTT is a tool used by civil servants to improve the understanding of the clients’ needs. It is an AI system that employs more than 100 000 client records to estimate the probabilities of different employment pathways, systematizes clients to provide support where it is most needed, and distributes the workload between civil servants. Now, the system finds the probability of finding a new job and is regarded as much more useful. The AI has been created in collaboration with Citis, Nortal and Resta.
OpenJustice - Open case law, pseudonymization and enrichment of court decisions
The Court of Cassation, in conjunction with the Ministry of Justice, wishes to develop automatic learning techniques in order to identify the data to be pseudonymized in court decisions before making them accessible and reusable. The results of this work will profoundly transform the dissemination of case law, strengthen the consistency of decisions rendered and citizens' confidence in the judiciary; they can be widely applied to other types of data.This machine learning model to automatically pseudonymize case law data and foster open data of case law. . Aims to foster open data and the development of legal tech start ups
The Municipality of Rotterdam (Gemeente Rotterdam) manages Rotterdam, one of the most modern and touristic cities in the Netherlands, which is inhabited by 600,000 residents. Rotterdam has a unique roof landscape that was created after World War II, where many buildings with flat roofs were built during the city’s reconstruction. There are approximately 14.5km2 of flat roofs in the city and the Municipality of Rotterdam wants to use data to make informed decisions regarding the sustainable usage of its rooftops.
DSSG (Data Science for Social Good) is helping Rotterdam figure out how improved use of its rooftops could help address challenges with water storage, green spaces and energy generation. The principal goal will be to use aerial and satellite images to identify the current usage of rooftops in Rotterdam.
Data generated by IoT sensors enables ProRail to understand conditions it couldn’t previously, with human analysis alone. “What really helps is using data to create different estimates and insights that they didn’t have before, or correlations that they didn’t see earlier, or maybe calculate options that are beyond human possibilities because we have a computer that can do a million type of calculations,” said Thymo van den Brug, manager of development, asset management Information at ProRail, in a recent article on the use of data in the rail system. As a result, IoT sensor data enables ProRail to optimize train schedules and maintain equipment—two serious challenges for railway efficiency. To conduct preventative maintenance, ProRail uses a railway track monitoring system that collects data and monitors the state of the track infrastructure on various routes. Data can secure the physical environs as well. ProRail uses algorithms to determine when and where a trespasser might decide to walk on the track, for example.
The TrondHeim Municipality has been working on an AI system capable of predicting which companies had a higher chance of become insolvent. This enable the organisation to detect companies at risk at take pre-emptive actions. The predictions were accurate to around 80% a year (an accuracy of 90% would have been much more preferred).
Corpus Viewer: NLP and ML-based Platform for Public Policy Making and Implementation
The Corpus Viewer platform is based on natural language processing (PLN), machine learning (ML) and machine translation (MT) techniques to analyze structured metadata and unstructured textual data in large corpus of textual documents. The platform allows decision-makers and policy implementers the possibility to analyze the R&D information space (mainly patents, scientific publications and public aid) for the implementation of policies based on evidence and knowledge. It is based,modeling topics and graph analysis. Corpus Viewer development began in 2016 and continues to advance thanks to the collaboration of various university research groups and companies and it is currently used by 3 public administrations: SEAD (Ministry of Economy), the Spanish Foundation for Science and Technology (FECYT) and the Secretary of State for Universities and Research, Development and Innovation (SEUIDI) ( Ministry of Science).
NOGAuto - Assign or control codes to companies for economic activities
The General Classification of Economic Activities (NOGA) is an essential element for the FSO’s statistical production. The quality of the NOGA coding of the enterprises registered in the Business and Enterprise Register (BER) has a direct impact on the results of the structural, economic and synthetic statistics that concern enterprises. These depend on stable, monitored and quality NOGA coding of the BER units. With a view to reducing the burden on enterprises and continuously improving the coding of enterprises, the project aims to automate the allocation of economic activity codes to enterprises. In an initial phase, this will be based on information that is already available within the FSO. Staff who are responsible for NOGA coding allocate or controll an enterprise’s economic activity code using the information that is available (survey input, economic activity description from the commercial register, etc.). This is inevitably associated with a human and subjective interpretation of information available which makes standardised coding difficult.
Babylon's interactive symptom checker asks you questions to analyse your condition. Babylon's AI system has been created by experienced doctors and scientists using the latest advances in deep-learning. Much more than a searchable database, it assesses known symptoms and risk factors to provide informed, up-to-date medical information.
National
United Kingdom
UK
National Health Service
Central-Government
Health
Medical products, appliances and equipment.
Implemented
2.021
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
https://www.babylonhealth.com/
Reasoning
Automated reasoning
Knowledge representation
11/09/2023
PSTW-147
Automatic posting of invoices - Robot to propose the correct posting
Customers of The Norwegian Government Agency for Financial Management (DFØ) spend considerable time and resources on posting incoming invoices due to uncertainty about the correct posting. In some cases this can lead to invoices being paid after the due date and can create extra costs for the agency in the form of interest and charges. DFØ is currently testing solutions from two companies, one of which involves an accounting robot that uses AI to propose the correct posting. The model is trained using historical data before making a prediction of the posting based on a combination of historical data and information obtained from the actual invoice.
National
Norway
NO
Norwegian Government Agency for Financial Management
Central-Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
Currently there is no automated collection of condition data for all federal motorways. An up-to-date database and an automated assessment of the quality of individual stretches of motorway would be important, e.g. in order to initiate suitable maintenance measures at an early stage and thus prevent cost-intensive long-term damage. A system is being developed, on the basis of image data previously classified by experts, that enables video data to be (partially) (partially) automated evaluation of video data in order to classify roads in terms of their condition. In the long term, other sensor data will also be incorporated.
National
Germany
DE
BMVI, Autobahn GmbH of the Federal Government
Central-Government
Economic affairs
Transport
Pilot
2.019
2020
Enforcement
Smart Recognition processes
No
No
Artificial Intelligence
G2C
x
x
x
KI im Behördeneinsatz: Erfahrungen und Empfehlungen https://www.oeffentliche-it.de/documents/10181/14412/KI+im+Beh%C3%B6rdeneinsatz+-+Erfahrungen+und+Empfehlungen
Perception
Computer vision
Machine learning
11/09/2023
PSTW-162
Véda-KAFIR-ROBOTZSARU (‘Robocop’) - System Operated by the Police for Traffic Safety Automated Processing
Véda is an intelligent road traffic camera system, which provides data to KAFIR (Közlekedésbiztonsági Automatizált Feldolgozó és Információs Rendszer - Traffic Safety Automated Processing and Information System). Together with the solutions provided by Robotzsaru (‘Robocop’), an integrated administration, case processing and electronic records management system, basically the main software of the police, fines for road traffic violations are almost automatic The cameras record the registration number, speed of the vehicle, the coordinates of the location, the date and time of the event. This data is transferred to the KAFIR, which cross-checks data with the traffic registry (e.g., if the vehicle is stolen) and uploads everything together in the Robotzsaru IT system. The generated files are then classified and transmitted to the responsible authority. Up to this point, there is no possibility for human interference. Possible infringements are punishable under no-fault liability and the data is unquestionable, even if the decision is made automatically. However, there is an ex-post check by the administrator.
Job Market Finland - Matching employees with right jobs
Job Market Finland, which is a service developed by KEHA-Centre and the Ministry of Economic Affairs and Employment, is being built up in stages and it will emerge as a new kind of service for the job market, offering a shared platform for public and private suppliers of services for training and for business and industry, and for the jobs offered by various employment exchange platforms. The most important thing in the job market is matching the right employees with the right jobs. The AI-based matching solution matches jobseeker-profiles and job vacancies based on structured information (e.g. skills, occupations) and natural language. The matches are scored and showed to both jobseeker and employer. AI-solution also helps in describing skills needed or provided.
National
Finland
FI
Ministry of Economic Affairs and Employment
Central-Government
Social protection
Unemployment.
Implemented
2.021
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Reasoning
Automated reasoning
Searching
11/10/2023
PSTW-198
Prediction supply of trucks - Machine Learning to predict truck scheduling
The AI enabled solution (using maching learning), is planned to be used in order to predict the available capacity in trucks scheduled for the next day. This prediction should help to optimize the transport flow.
National
France
FR
La Poste
Central-Government
Economic affairs
Transport
In development
2.021
Analysis, monitoring and regulatory research
Prediction and planning
No
No
Artificial Intelligence
G2B
x
x
x
Survey Use and impact of AI in the public sector. 2021 (https://ai-watch.ec.europa.eu/news/survey-artificial-intelligence-use-public-sector-2021-06-11_en)
Learning
Machine learning
Planning and Scheduling
11/10/2023
PSTW-207
Artificial Intelligence in general practice
In general practice, physicians need to handle and process a lot of information, including patients’ test results. However, not all test results require action from physicians. By automating the handling of these types of test results, physicians’ attention can instead be allocated to patients and their treatment. The algorithm will support physicians’ work in general practice by, for example, automatically handling received test results or sorting blood test results and making physicians aware of results that require immediate response.
Local
Denmark
DK
Medcom
Local Government
Health
Hospital services.
Pilot
2.019
2021
Internal management
Internal primary processes
No
No
Artificial Intelligence
G2C
x
x
x
Mail to AI Watch 15-05-2021
Integration and Interaction
Robotics and Automation
Planning and Scheduling
01/01/1970
PSTW-219
Better match between unemployed citizens and companies
Although companies demand labour, it can be difficult to match unemployed citizens with the right skills to the right jobs. The purpose of the project is to develop a tool that can help case workers offer a more targeted job search and thus increase the effect of the employment programme., Although companies demand labour, it can be difficult to match unemployed citizens with the right skills to the right jobs. The purpose of the project is to develop a tool that can help case workers offer a more targeted job search and thus increase the effect of the employment programme. The algorithm matches the described professional and personal abilities from unemployed citizens’ CVs with requirements in current job openings to propose alternative jobs in other industries or alternative job types. In this way, case workers can better help the unemployed towards a more targeted job search.
Local
Denmark
DK011
Kobenhavns Kommune
Local Government
Social protection
Unemployment.
Pilot
2.020
2021
Public services and engagement
Service personalisation (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
Mail to AI Watch 15-05-2021
Planning
Planning and Scheduling
Searching
01/01/1970
PSTW-225
Capsat - Information from satellite images for a better agricultural policy in Flanders and Europe
Every Flemish farmer who receives 'direct support' within the European Common Agricultural Policy (CAP) is obliged to adhere to a number of climate and environmentally friendly principles and practices with a view to sustainable, liveable and competitive agriculture. This concerns, for example, crop diversification, the maintenance of grassland and the creation of ecological focus areas. The Department of Agriculture and Fisheries supervises the correct and timely implementation of these types of policy measures. Currently, the control is based on spot checks in the field. High-resolution images from various satellites are able to quickly map the correct information. This allows for better follow-up, guidance and control of the farmers. Also possibly. crop damage due to drought or flooding can be objectified more quickly.
CATE - Continuous Auditing based on Technological Evolution and Data Mining
The Flemish Audit Authority is responsible for the (financial and operational) auditing of the projects that are subsidized through European structural funds and Flemish co-financing. A significant proportion of audits must be outsourced. This outsourcing is done at a relatively high cost, for not always the same amount of added value; In outsourcing it is often noted that the performers of these assignments are often young auditors with little or no knowledge of public procurement and state aid, which makes the quality control by the Flemish Audit Authority very intensive and time-consuming, which is not the intention of outsourcing. This project wants to rethink the audit process methodologically and technologically with the following objectives: greater certainty, at a lower cost, within a shorter period of time with greater added value and less loss of (European) resources.
Regional
Belgium
BE2
Flemish Audit Office
Regional Government
General public services
Executive and legislative organs, financial and fiscal affairs, external affairs.
The Agency for Roads and Traffic (AWV) is responsible for the control of slippery conditions on Flemish roads under its own management. The AWV winter service is supported for this with various data sources and technical tools. AWV has been investing for some time in its own ice cream measurement system (GMS) that combines real-time results from measuring points and measuring stations with weather forecasts from the RMI.The knowledge and expertise of the employees is very different and is translated into a not very consistent spreading policy across the districts. However, the roads do not stop at the boundary line between two districts. That is why AWV wants to have a system developed that can support district employees in their choice of spreading and that can lead to more uniform spreading decisions across the districts. By combining physical rules and machine learning techniques , the system can help make the assessment and indicate which type of spreading material, in what quantity and at what time, is most appropriate to make and keep the roads in the district ice-free.
The AI solution predicts possible blockages in Helsinki Region Environmental Services Authority HSY’s sewage network, spanning over 3000 kilometers. With the intelligent solution, HSY is able to prevent one third of blockages on an annual basis as sewer cleaning can be targeted on blockage-prone drain ranges suggested by the AI solution. The solution is used in Helsinki Region Environmental Services Authority. The experience showed that the AI is able to predict blockages efficiently, and up to a third of the blockages could be avoided.
Regional
Finland
FI1B
Helsinki Region Environmental Services Authority HSY
Local Government
Housing and community amenities
Housing and community amenities n.e.c.
Implemented
2.020
Analysis, monitoring and regulatory research
Prediction and planning
No
No
Artificial Intelligence
G2B
x
x
x
https://faia.fi/market-research/
Planning
Planning and Scheduling
Optimisation
01/01/1970
PSTW-288
Intelligence Emploi
Install Artificial Intelligence within Pôle emploi as a lever to accelerate the return to sustainable employment.
8TING - Analysis of drivers to keep people in class
With 8TING, the use of pyschology and web technology in the Municipality of Enschede appeals to internal drivers by monitoring and adjusting on more than 80 factors. Based on profile, behaviour and context, it is made clear who needs what attention. With this insight, (automatic) programs are planned to measure, pats on the back and people are kept in class.
Local
Netherlands
NL
8Ting, business office Work & Income of the municipality of Enschede
Local Government
Education
Secondary education.
In development
2.021
Analysis, monitoring and regulatory research
Information analysis processes
No
No
Artificial Intelligence
G2C
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Planning
Planning and Scheduling
Automated reasoning
01/01/1970
PSTW-304
AI machine learning supervised - Delivering learning reports
Duo is currently holding a small-scale internal pilot called 'AI machine learning supervised', with the aim of delivering a learning report for DUO
National
Netherlands
NL
Education Implementation Service
Central-Government
Education
R&D education.
Pilot
2.021
Internal management
Internal primary processes
No
No
Artificial Intelligence
G2C
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Learning
Machine learning
Automated reasoning
01/01/1970
PSTW-316
Brid.ge - Smart City Enschede
With the available information, the visitor can drive directly to the right parking lot or still opt for public transport.
Local
Netherlands
NL
Municipality of Enschede, Saxion, Winkelhart Enschede, University of Twente, Both Social, eLabbs, Marotura, Present Media, Squal Media, Think Public, University of Twente and Winkelhart Enschede
Local Government
General public services
General public services n.e.c.
Pilot
2.018
Public services and engagement
Service integration (various)
No
No
Artificial Intelligence
G2C
x
x
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Reasoning
Automated reasoning
Searching
01/01/1970
PSTW-326
Diagnosis Plan and Control Tool - Assessing the risk of home fraud
This allows the municipality to assess the risk of fraud so that it can make a choice whether or not to go on a home visit to verify data. A risk indicator in this system is, for example, the form in which one lives (such as with family, subletting) and whether or not with inmates. These circumstances are then related to the amount of housing costs and any debts. This digital tool allows a municipality to use its human power more selectively during home visits.
Local
Netherlands
NL
Municipalities (Boxmeer)
Local Government
Social protection
Social protection n.e.c.
In development
2.011
Enforcement
Supporting inspection processes
No
No
Artificial Intelligence
G2C
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Planning
Planning and Scheduling
Automated reasoning
01/01/1970
PSTW-333
Geniq - reports wait times
Calculates, analyzes, and reports wait times, so that an institution always has up-to-date insights.
Local
Netherlands
NL
Mental health institutions
Local Government
Social protection
Social protection n.e.c.
Implemented
2.017
Analysis, monitoring and regulatory research
Information analysis processes
No
No
Artificial Intelligence
G2C
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Learning
Machine learning
Planning and Scheduling
01/01/1970
PSTW-335
Graasdierpremie - Use of drones in counting animals
Nature conservation by automatically monitoring animal distribution and animal abundance. Typically, such conservation tasks are performed manually on foot or after an aerial recording from a manned aircraft. Such manual approaches are expensive, slow and labor intensive.
National
Netherlands
NL
Netherlands Food and Consumer Product Safety Authority (NVWA)
Central-Government
Economic affairs
Agriculture, forestry, fishing and hunting
Pilot
2.014
Enforcement
Supporting inspection processes
No
No
Artificial Intelligence
G2B
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Integration and Interaction
Robotics and Automation
Computer vision
01/01/1970
PSTW-339
Identifying people at risk of falling into large debts
People at risk of defaulting into large debts automatically surface
Local
Netherlands
NL32
Municipality of Amsterdam
Local Government
Social protection
Social protection n.e.c.
In development
2.021
Enforcement
Supporting inspection processes
No
No
Artificial Intelligence
G2C
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Planning
Planning and Scheduling
Automated reasoning
01/01/1970
PSTW-358
Analyzing data to help people on welfare get back to work for Social Assistance in The Hague
Analyzing data to help people on welfare get back to work. The system finds people at an early stage so that they can be helped immediately on their way.
Local
Netherlands
NL
Municipality of The Hague
Local Government
Social protection
Unemployment.
Pilot
2.020
Analysis, monitoring and regulatory research
Information analysis processes
No
No
Artificial Intelligence
G2C
x
x
x
Hoekstra, M., Chideock, C., & Veenstra, A.F. van (2021). Quik Scan AI in de Publieke Dienstverlening II - Longlist Initiatieven. TNO: Den Haag.
Planning
Planning and Scheduling
Machine learning
01/01/1970
PSTW-415
Pred Crime Pilot Rivas-Vaciamadrid
In 2016, the local police of Rivas-Vaciamadrid, a town of 86,000 people in the Madrid region, ran a pilot of the Pred-Crime software, developed by Spanish company EuroCop (Europa Press, 2015). Pred-Crime analyzes historical data to predict where and when it’s more likely that different types of common misdemeanors and offenses, like traffic violations and robberies, will be committed.