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Trustworthy and human-centric? The new governance of workplace AI technologies under the EU’s Artificial Intelligence Act

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  • Özkiziltan, Didem
  • Landini, Fabio

Abstract

The increasing use of AI technologies in the workplace raises significant concerns about their implications for workers’ rights and the future of work. The EU’s Artificial Intelligence Act aims to ensure that innovation is not at the expense of fundamental rights. While the Act seeks to promote human-centric and trustworthy AI applications, this article highlights several regulatory gaps that are likely to foster two key trends shaping the future of work in Europe: the increasing autonomy of AI tech companies over the design of workplace AI and the reinforcement of power imbalances in the workplace. These trends leave EU workplaces vulnerable to biased and intrusive AI, thereby hindering the fair integration of AI into the work of the future. This article critiques the Act’s shortcomings in regulating AI at work and advocates a dedicated EU directive to mitigate adverse impacts of AI in the workplace and reinforce human-centric AI principles for societal benefit.

Suggested Citation

  • Özkiziltan, Didem & Landini, Fabio, 2025. "Trustworthy and human-centric? The new governance of workplace AI technologies under the EU’s Artificial Intelligence Act," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 0, pages 1-15.
    • Handle: RePEc:zbw:espost:320729
    DOI: 10.1177/10242589251336193
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    References listed on IDEAS

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    1. Sha Yuan & Zhou Shao & Xingxing Wei & Jie Tang & Wendy Hall & Yongli Wang & Ying Wang & Ye Wang, 2020. "Science behind AI: the evolution of trend, mobility, and collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 993-1013, August.
    2. Moore, Phoebe V., 2019. "The mirror for (artificial) intelligence: Working in whose reflection?," Discussion Papers, Research Group Globalization, Work, and Production SP III 2019-302, WZB Berlin Social Science Center.
    3. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
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