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AI Watch - Artificial Intelligence for the public sector: Report of the "1st Peer Learning Workshop on the use and impact of AI in public services", Brussels 11-12 February 2020

Colin van Noordt (colin@vannoordt.nl), Gianluca Misuraca (gianluca.misuraca@ec.europa.eu), Marzia Mortati (marzia.mortati@polimi.it), Francesca Rizzo (francesca.rizzo@polimi.it) and Tjerk Timan (tjerk.timans@tno.nl)
Additional contact information
Colin van Noordt: Tallinn Technology University
Gianluca Misuraca: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Marzia Mortati: Politecnico di Milano
Francesca Rizzo: Politecnico di Milano
Tjerk Timan: TNO

No JRC120315, JRC Research Reports from Joint Research Centre

Abstract: This the report of the 1st AI WATCH Peer Learning Workshop on the Use of and Impact of AI in Public Services organized by JRC/B6 jointly with DG CNECT/H4. The workshop discussed the current state of AI in the public sector that shows how AI is widely experimented across European countries. From the analysis of results of the JRC activities on AI for the public sector conducted as part of the AI WATCH it emerged that these technologies are mostly applied in general public services, economic affairs and health services, with most Chatbots often mentioned. Most AI based innovation, however, seems to be mostly incremental or technical, with innovation truly causing disruptions in the public service model being limited. From the discussion in working groups and plenary it also emerged that activities of the AI Watch task on AI for the public sector should prioritize on the following Policy domains: Health, Education, Public Order, Housing, Transport and Agriculture. Finally, since an important part of the debate revolved around the topic of AI and data governance, it was decided to focus the 2nd AI WATCH Peer Learning Workshop with Member States on this domain.

Keywords: AI; public sector; governance; data; EU (search for similar items in EconPapers)
Pages: 20 pages
Date: 2020-06
New Economics Papers: this item is included in nep-big
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