Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 20
Number of items: 20
  • 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
  • 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
    Martinez Pandiani, D. S., Streefkerk, E., Naudts, L., & Helm, P. (2026). From Vulnerable Data Subjects to Vulnerabilizing Data Practices: Navigating the Protection Paradox in AI-Based Analyses of Platformized Lives. In ACM FAccT 2026: Proceedings of the 9th annual ACM Conference on Fairness, Accountability, and Transparency : June 25-28, 2026, Montréal, Canada (pp. 106-128). Association for Computing Machinery. https://doi.org/10.1145/3805689.3806735
  • 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
    Venkatraj, K. P., Morosoli, S., Cools, H., Naudts, L., de Vreese, C., Helberger, N., Cesar, P., & El Ali, A. (2025). Understanding AI Disclosure Needs for News Production and Journalism. In S. Sorce, P. Elagroudy, & M. Khamis (Eds.), Proceedings of MUM 2025: The 24th International Conference on Mobile and Ubiquitous Multimedia (pp. 202-208). Association for Computing Machinery. https://doi.org/10.1145/3771882.3771899
  • 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
Page 1 of 2