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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 -
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 -
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
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