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Results: 8
Number of items: 8
  • Open Access
    Mattis, N. M., Kieslich, K., & de Vreese, C. H. (2025). Feeling iffy about generative AI: When journalists disclose AI use, trust in news is lower. OSF Preprints. https://doi.org/10.31219/osf.io/tmzq4_v1
  • Open Access
    Resendez, V., Kieslich, K., Helberger, N., & de Vreese, C. (2025). More Than Justifications an Analysis of Information Needs in Explanations and Motivations to Disable Personalization. Journalism Studies, 26(11), 1304-1312. https://doi.org/10.1080/1461670X.2025.2505001
  • Open Access
    Kieslich, K., Diakopoulos, N., & Helberger, N. (2025). Anticipating impacts: using large-scale scenario-writing to explore diverse implications of generative AI in the news environment. AI and Ethics, 5(5), 4555–4577. https://doi.org/10.1007/s43681-024-00497-4
  • Open Access
    Barnett, J., Kieslich, K., Helberger, N., & Diakopoulos, N. (2025). Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making. In ACM FAccT '25: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency : June 23-26, 2025, Athens, Greece (pp. 1424-1449). Association for Computing Machinery. https://doi.org/10.1145/3715275.3732096
  • Open Access
    Barnett, J., Kieslich, K., & Diakopoulos, N. (2024). Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation. In S. Das, B. P. Green, K. Varshney, M. Ganapini, & A. Renda (Eds.), Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society: AIES-24 (pp. 82-93). AAAI Press. https://doi.org/10.1609/aies.v7i1.31620
  • Open Access
    Kieslich, K., & Lünich, M. (2024). Regulating AI-Based Remote Biometric Identification: Investigating the Public Demand for Bans, Audits, and Public Database Registrations. In ACM FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency : June 3rd-6th 2024, Rio de Janeiro, Brazil (pp. 173-185). The Association for Computing Machinery. https://doi.org/10.1145/3630106.3658548
  • Open Access
    Kieslich, K., Helberger, N., & Diakopoulos, N. (2024). My Future with My Chatbot: A Scenario-Driven, User-Centric Approach to Anticipating AI Impacts. In ACM FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency : June 3rd-6th 2024, Rio de Janeiro, Brazil (pp. 2071-2085). The Association for Computing Machinery. https://doi.org/10.1145/3630106.3659026
  • Open Access
    Kieslich, K., Keller, B., & Starke, C. (2022). Artificial intelligence ethics by design: Evaluating public perception on the importance of ethical design principles of artificial intelligence. Big Data & Society, 9(1). https://doi.org/10.1177/20539517221092956
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