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The politics of Artificial Intelligence regulation and governance reform in the European Union

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  • Ronit Justo-Hanani

    (Tel Aviv University)

Abstract

This paper explores political drivers and policy process of the reform of the framework for Artificial Intelligence regulation and governance in the European Union (EU). Since 2017, the EU has been developing an integrated policy to tighten control and to ensure consumer protection and fundamental rights. This policy reform is theoretically interesting, raising the question of which conceptual approaches better explain it, and it is also empirically relevant, addressing the link between risk regulation and digital market integration in Europe. This paper explores the policy reform mainly by using two case study methods—process tracing and congruence procedure—using a variety of primary and secondary sources. It evaluates the analytical leverage of three theoretical frameworks and a set of derived testable hypotheses concerning the co-evolution of global economic competition, institutional structure, and policy preferences of domestic actors in shaping incremental approach to AI regulation in the EU. It is argued that all three are key drivers shaping the reform and explain the various stages of the policymaking process, namely problem definition, agenda-setting, and decision-making, as well as the main features of the outcome.

Suggested Citation

  • Ronit Justo-Hanani, 2022. "The politics of Artificial Intelligence regulation and governance reform in the European Union," Policy Sciences, Springer;Society of Policy Sciences, vol. 55(1), pages 137-159, March.
    • Handle: RePEc:kap:policy:v:55:y:2022:i:1:d:10.1007_s11077-022-09452-8
    DOI: 10.1007/s11077-022-09452-8
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    References listed on IDEAS

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    Cited by:

    1. Woszczyna Karolina & Mania Karolina, 2023. "The European map of artificial intelligence development policies: a comparative analysis," International Journal of Contemporary Management, Sciendo, vol. 59(3), pages 78-87, September.
    2. Mariusz Tomczyk & Henryk Wojtaszek & Małgorzata Chackiewicz & Małgorzata Orłowska, 2023. "Electromobility and Renewable Energy Sources: Comparison of Attitudes and Infrastructure in Poland and Germany," Energies, MDPI, vol. 16(24), pages 1-34, December.
    3. Martin Krzywdzinski & Detlef Gerst & Florian Butollo, 2023. "Promoting human-centred AI in the workplace. Trade unions and their strategies for regulating the use of AI in Germany," Transfer: European Review of Labour and Research, , vol. 29(1), pages 53-70, February.
    4. Krzywdzinski, Martin & Gerst, Detlef & Butollo, Florian, 2022. "Promoting human-centred AI in the workplace. Trade unions and their strategies for regulating the use of AI in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue OnlineFir, pages 1-1.
    5. Gil, Olga, 2023. "AI Philosophy: Sources of Legitimacy to Analyze Artificial Intelligence," OSF Preprints 39njx, Center for Open Science.
    6. Gil, Olga, 2024. "Inteligencia Artificial: Gobernanza y Legitimidad," SocArXiv rs7d8, Center for Open Science.
    7. Nicole Lemke & Philipp Trein & Frédéric Varone, 2023. "Agenda-setting in nascent policy subsystems: issue and instrument priorities across venues," Policy Sciences, Springer;Society of Policy Sciences, vol. 56(4), pages 633-655, December.

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