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AI Watch - Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU

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This report is published in the context of AI Watch, the European Commission knowledge service to monitor the development, uptake and impact of Artificial Intelligence (AI) for Europe, launched in December 2018 as part of the Coordinated Plan on the Development and Use of Artificial Intelligence Made in Europe. The report presents the results of the findings from the mapping of the use of AI in support of public services in the EU. The analysis serves to contribute landscaping the current state of the art in the field, and provide a preliminary overview of Member States efforts to integrate AI in their government operations and adopt AI-enabled innovations in the public sector. From the analysis it emerges that the interest on the use of AI within governments to support redesigning internal processes and policy-making mechanisms, as well as to improve public services delivery and engagement with citizens is growing. Governments across the EU are exploring the potential of AI use to improve policy design and evaluation, while reorganising the internal management at all governance levels. Indeed, when used in a responsible way, the combination of new, large data sources with advanced machine learning algorithms could radically improve the operating methods of the public sector, paving the way to pro-active public service delivery models and relieving resource constrained organisations from mundane and repetitive tasks.

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  • Gianluca MISURACA & Colin van Noordt, 2020. "AI Watch - Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU," JRC Research Reports JRC120399, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc120399
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    1. Ioannis Kosmas & Theofanis Papadopoulos & Georgia Dede & Christos Michalakelis, 2023. "The Use of Artificial Neural Networks in the Public Sector," FinTech, MDPI, vol. 2(1), pages 1-15, March.
    2. Lena Ulbricht & Karen Yeung, 2022. "Algorithmic regulation: A maturing concept for investigating regulation of and through algorithms," Regulation & Governance, John Wiley & Sons, vol. 16(1), pages 3-22, January.
    3. Yu-Che Chen & Michael J. Ahn & Yi-Fan Wang, 2023. "Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    4. Rocco, Salvatore, 2022. "Implementing and managing Algorithmic Decision-Making in the public sector," SocArXiv ex93w, Center for Open Science.
    5. Igor Calzada, 2020. "Platform and Data Co-Operatives amidst European Pandemic Citizenship," Sustainability, MDPI, vol. 12(20), pages 1-22, October.
    6. DE NIGRIS Sarah & CRAGLIA Massimo & NEPELSKI Daniel & HRADEC Jiri & GOMEZ-GONZALES Emilio & GOMEZ GUTIERREZ Emilia & VAZQUEZ-PRADA BAILLET Miguel & RIGHI Riccardo & DE PRATO Giuditta & LOPEZ COBO Mont, 2020. "AI Watch : AI Uptake in Health and Healthcare, 2020," JRC Research Reports JRC122675, Joint Research Centre.

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    Keywords

    Artificial Intelligence; Public Services; Digital Governance; Innovation; Public Sector; European Union;
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