JRC Data Catalogue
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Selected AI cases in the public sector (JRC129301)

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This dataset contains the list of selected cases taken from the public sector institutions in Europe on adopting and implementing AI that has been used by the JRC Report 129301 “AI Watch. European landscape on the use of Artificial Intelligence by the Public Sector”. The cases have been collected within the AI for the public sector initiative from a series of activities (surveys, workshops, interviews, desk research on the web) to understand the type of AI solutions available in the public sector. Thus, the list must not be considered a complete and systematic inventory of current AI solutions in Europe and moreover this use cases list is not updated anymore. The actual published list is updated to 31/12/2021.

The collection of AI cases in the Public Sector, together with other interesting technologies, is continued and updated by the Public Sector Technology Watch Observatory. For more information follow this link https://joinup.ec.europa.eu/collection/public-sector-tech-watch

Contributors

How to cite

European Commission, Joint Research Centre (2026): Selected AI cases in the public sector (JRC129301). [Dataset] doi: 10.2905/JRC.WXV5XY8 PID: http://data.europa.eu/89h/7342ea15-fd4f-4184-9603-98bd87d8239a

Keywords

AIArtificial IntelligenceDigital GovernmenteGovernmentInnovative Public Services

Data access

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

ODS

ODS is an OpenDocument file format for spreadsheets. OpenDocument was developed with the aim of providing an open, XML-based file format specification for office applications.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Excel XLS

XLS is a proprietary binary file format used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Other resources

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

  • Metadata, taxonomies and definitions adopted in the use cases classification

HTML

HTML is the standard markup language used to create web pages and its elements form the building blocks of all websites.

  • Navigate AI cases details online

Publications

Publication
Tangi, L., Van Noordt, C., Combetto, M., Gattwinkel, D. and Pignatelli, F., AI Watch. European landscape on the use of Artificial Intelligence by the Public Sector, EUR 31088 EN, Publications Office of the European Union, Luxembourg, 2022, ISBN 978-92-76-53058-9, doi:10.2760/39336, JRC129301.

Temporal coverage

From date To date
2010-01-01 2021-12-31

Additional information

Published by
European Commission, Joint Research Centre
Contact email
EC-AI-WATCH (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Data theme(s)
Government and public sector

dataset theme covering the areas of government and the public sector, government being the system or group of individuals governing an organised community, usually a state, and the public sector comprising the segment of the economy involving public services and enterprises, which may be managed by central, regional or local authorities

Geographical name(s)
Issued date
2021-01-27
Created date
27 Jan 2021 15:32
Modified date
14 Nov 2023 13:52
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Dataset identifier
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