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Update of Selected AI cases in the Public Sector (deprecated)

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This dataset contains 720 cases and it is an update of the already dataset published dataset with the JRC Report "AI Watch. European landscape on the use of Artificial Intelligence by the Public Sector" (JRC129301). This dataset is associated with the JRC Technical Report "Artificial Intelligence for Interoperability in the European Public Sector: an exploratory study" (JRC134713).

Contributors

Joint Research Centre European Commission

How to cite

European Commission, Joint Research Centre (2026): Update of Selected AI cases in the Public Sector (deprecated). [Dataset] doi: 10.2905/JRC.C2Y5740 PID: http://data.europa.eu/89h/d9ed6cb3-5c59-4be4-aa45-c832478d8f38

Keywords

Artificial IntelligenceInteroperabilityPublic Sector

Data access

AI cases in the PS - 720
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.

AI cases in the PS - 720
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.

AI cases in the PS - 720
JSON

JSON is an open-standard file format that uses human-readable text to transmit data objects consisting of attribute–value pairs and array data types (or any other serializable value). It is a very common data format used for asynchronous browser/server communication.
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.

AI cases in the PS - 720
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.

Publications

Publication
AI WATCH: Selected AI cases in the public sector
European Commission, Joint Research Centre (2023): Selected AI cases in the public sector. [Dataset] PID: http://data.europa.eu/89h/7342ea15-fd4f-4184-9603-98bd87d8239a
Publication
Artificial Intelligence for Interoperability in the European Public Sector
European Commission: Joint Research Centre, TANGI, L., COMBETTO, M., MARTIN BOSCH, J. and RODRIGUEZ MÜLLER, P., Artificial Intelligence for Interoperability in the European Public Sector, Publications Office of the European Union, Luxembourg, 2023, https://data.europa.eu/doi/10.2760/633646 (online),10.2760/0951500, JRC134713.
Publications Office of the European Union, Luxembourg, Luxembourg
DOI badgeDOI badgeISBN badgeISBN badgeISSN badgeISSN badge

  • This report provides the result of a research study conducted within the context of the Public Sector Tech Watch, an observatory developed by DG DIGIT, with the support of the Joint Research Centre (JRC), that provides a knowledge hub and a virtual space where public administrations, civil society, GovTech companies and researchers can find and share knowledge and experience. The report’s primary goal is to offer an analysis of how Artificial Intelligence (AI) systems are improving interoperability in the European Public Sector. The findings are based on three pillars: (i) a literature and policy review on the synergies between AI and interoperability; (ii) a quantitative analysis of a selected set of 189 use cases fitting the purpose of the research question; and (iii) a qualitative study going deeper into some illustrative cases. The findings highlight that the one-fourth of the cases collected are using AI techniques to support interoperability through a varied set of applications. Moreover, the semantic interoperability layer is fundamental in most of the cases. In addition, ontologies and taxonomies

    combined with AI can help in establishing interoperability between different systems. The solutions analysed classify, detect and provide structure, among other actions performed on data. Hence, AI has the capability to standardise, clean, structure and increase the usage of large volumes of data, thus improving overall quality and making it easier to use and share between different systems.

Temporal coverage

From date To date
N/A 2022-09-30

Additional information

Published by
European Commission, Joint Research Centre
Contact email
JRC-DIGITAL-GOVERNANCE (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

Issued date
2023-10-10
Created date
03 Oct 2023 10:45
Modified date
05 Jun 2025 07:34
Dataset identifier
http://data.europa.eu/89h/d9ed6cb3-5c59-4be4-aa45-c832478d8f38
Other identifiers
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