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Results: 18
Number of items: 18
  • Open Access
    Morosoli, S., Naudts, L., Cools, H., Venkatraj, K., Helberger, N., & de Vreese, C. (2026). Public accountability and regulatory expectations for AI in journalism: qualitative evidence from focus groups with Dutch citizens. AI & Society, 41(2), 1467-1479. https://doi.org/10.1007/s00146-025-02591-5
  • Open Access
    Helberger, N., de Vreese, C., Bouchè, G., Ferrari Braun, A., van Drunen, M., Kruschinski, S., Mattis, N., Morosoli, S., Naudts, L., Papaevangelou, C., Seipp, T., Votta, F., & Weikmann, T. (2026). Generative AI and Democracy: Study on advantages and risks of the use of generative artificial intelligence in public debate and democratic processes . Steering Committee on Democracy (CDDEM). https://rm.coe.int/report-generative-ai-and-democracy/48802c3a76
  • Helberger, N., Morosoli, S., Mattis, N., Naudts, L., & de Vreese, C. H. (2025). Governments want to ease AI regulation for innovation, but do citizens agree?. Web publication or website, Tech Policy Press. https://www.techpolicy.press/governments-want-to-ease-ai-regulation-for-innovation-but-do-citizens-agree/
  • Cools, H., de Vreese, C., Ali, A. E., Helberger, N., Prajod, P., Mattis, N., Morosoli, S., Naudts, L., & Weikmann, T. (2025). Tackling the transparency puzzle: Five perspectives from AI disclosure research in news. Web publication or website https://www.aim4dem.nl/tackling-the-transparency-puzzle/
  • Open Access
    Vogiatzoglou, P., Biasin, E., Dogot, D., Gürses, S., Karagianni, A., Leiter, A., Naudts, L., Petersmann, M., Siapka, A., Snelting, F., Traxler, T., & van der Velden, L. (2025). To Reclaim or Resist: Can Digital Sovereignty Ever Be Feminist?. Web publication or website, Critical Legal Thinking. https://criticallegalthinking.com/2025/03/18/to-reclaim-or-resist-can-digital-sovereignty-ever-be-feminist/
  • Open Access
    Naudts, L., & Vedder, A. (2025). Fairness and Artificial Intelligence. In N. A. Smuha (Ed.), The Cambridge Handbook of the Law, Ethics and Policy of Artificial Intelligence (pp. 79-100). Cambridge University Press. https://doi.org/10.1017/9781009367783.006
  • Open Access
    Naudts, L., Helberger, N., Veale, M., & Sax, M. (2025). A Right to Constructive Optimization: A Public Interest Approach to Recommender Systems in the Digital Services Act. Journal of Consumer Policy, 48(3), 269-296. https://doi.org/10.1007/s10603-025-09586-1
  • Open Access
    Naudts, L. (2024). The Digital Faces of Oppression and Domination: A Relational and Egalitarian Perspective on the Data-driven Society and its Regulation. In ACM FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency : June 3rd-6th 2024, Rio de Janeiro, Brazil (pp. 701-712). The Association for Computing Machinery. https://doi.org/10.1145/3630106.3658934
  • Open Access
    Naudts, L., & Corrêa , A. M. (2024). Data-Driven Inequality and Discrimination: Challenges and Opportunities for Regulating AI-Systems in the CoE and EU . In I. Graef, & B. van der Sloot (Eds.), The Legal Consistency of Technology Regulation in Europe (pp. 9-42). Hart. https://doi.org/10.5040/9781509968053.ch-002
  • Open Access
    Helberger, N., Kas, B., Micklitz, H.-W., Namysłowska, M., Naudts, L., Rott, P., Sax, M., & Veale, M. (2024). Digital Fairness for Consumers. BEUC. https://www.beuc.eu/reports/digital-fairness-consumers
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