Artificial Intelligence for the Public Sector

Eimear Farrell (), Miriam Giubilei (), Asta Griciene, Eddy Hartog, Isabelle Hupont Torres (), Alexander Kotsev (), Georges Lobo, Eva Martinez Rodriguez (), Leontina Sandu, Sven Schade (), Maximilian Strotmann, Luca Tangi (), Songul Tolan, Carlos Torrecilla Salinas () and Peter Ulrich ()
Additional contact information
Eimear Farrell: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Miriam Giubilei: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Isabelle Hupont Torres: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Alexander Kotsev: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Eva Martinez Rodriguez: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Sven Schade: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Luca Tangi: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Carlos Torrecilla Salinas: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Peter Ulrich: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en

No JRC133826, JRC Research Reports from Joint Research Centre

Abstract: The Public Sector plays different roles with regard to AI. First, it acts as regulator, establishing the legal framework for the use of AI within society. Second, governments play also the role of accelerator, providing funding and support for the uptake of AI. Third, public sector organisations develop and use Artificial Intelligence. To explore these roles, with particular emphasis on the latter, the Joint Research Centre (JRC) and the Directorate-General for Informatics (DIGIT) of the European Commission jointly organised a webinar series and a “science for policy” conference in 2022. This report includes the conclusions of each one of the webinars, together with the material and main findings of the closing event. It reveals recent challenges, opportunities, and policy perspectives of the use of AI in the public sector, and distils a set of short takeaway messages. In a nutshell these finding are (i) AI in the public sector implies multi-stakeholders; (ii) experiment first, scale-up later; (iii) trustworthiness is a must; (iv) there is a need for upskilling public sector to be ready for the AI revolution; and (v) adapt procurement for digital and AI innovation. The report concludes that the AI promise is high for the society and in particular for the Public Sector, but the risks are not to be minimized. Europe has the ambition to succeed as whole in the digital transition powered by data and by AI-based applications, and wants to do it the European way, by putting citizens in the centre of this transformation.

Keywords: Artificial intelligence; digital transformation; innovative public services; Digital Decade (search for similar items in EconPapers)
Date: 2023-05
New Economics Papers: this item is included in nep-ain, nep-mfd and nep-reg
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