K. (Kimon) Kieslich MA
Faculteit der Rechtsgeleerdheid
Informatierecht
Bezoekadres
- Nieuwe Achtergracht 166
Postadres
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Postbus 15514
1001 NA Amsterdam
Contactgegevens
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Publicaties
2024
- Barnett, J., Kieslich, K., & Diakopoulos, N. A. (2024). Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation. In Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES 2024) (pp. 82-93). AAAI Press. https://doi.org/10.1609/aies.v7i1.31620
- 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). Association for Computing Machinery. https://doi.org/10.1145/3630106.3658548
- Kieslich, K., Diakopoulos, N. A., & Helberger, N. (2024). Anticipating impacts: using large-scale scenario-writing to explore diverse implications of generative AI in the news environment. AI and Ethics. https://doi.org/10.1007/s43681-024-00497-4
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). Association for Computing Machinery. https://doi.org/10.1145/3630106.3659026
2023
- Kieslich, K., Lünich, M., & Došenović, P. (2023). Ever Heard of Ethical AI? Investigating the Salience of Ethical AI Issues among the German Population. International Journal of Human-Computer Interaction. Advance online publication. https://doi.org/10.1080/10447318.2023.2178612
2022
- 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 [details]
- Lünich, M., & Kieslich, K. (2022). Exploring the roles of trust and social group preference on the legitimacy of algorithmic decision-making vs. human decision-making for allocating COVID-19 vaccinations. AI and Society. Advance online publication. https://doi.org/10.1007/s00146-022-01412-3
2021
- Kieslich, K., Lünich, M., & Marcinkowski, F. (2021). The Threats of Artificial Intelligence Scale (TAI): Development, Measurement and Test Over Three Application Domains. International journal of social robotics, 13(7), 1563-1577. https://doi.org/10.1007/s12369-020-00734-w
- Lünich, M., Marcinkowski, F., & Kieslich, K. (2021). It's now or never! future discounting in the application of the online privacy calculus. Cyberpsychology, 15(3), Article 11. https://doi.org/10.5817/CP2021-3-11
2020
- Hase, V., Engelke, K. M., & Kieslich, K. (2020). The Things We Fear. Combining Automated and Manual Content Analysis to Uncover Themes, Topics and Threats in Fear-Related News. Journalism Studies, 21(10), 1384-1402. Advance online publication. https://doi.org/10.1080/1461670X.2020.1753092
- Kieslich, K., & Marcinkowski, F. (2020). Serving the populist agenda: How German public media broadcasters inadvertently facilitate populist movements by evoking fear and anger. Studies in Communication and Media, 9(4), 482-515. https://doi.org/10.5771/2192-4007-2020-4-482
- Marcinkowski, F., Kieslich, K., Starke, C., & Lünich, M. (2020). Implications of AI (un-)fairness in higher education admissions: The effects of perceived AI (un-)fairness on exit, voice and organizational reputation. In FAT* '20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (pp. 122–130). ACM. https://doi.org/10.1145/3351095.3372867
2022
- Kieslich, K. (2022). Commentary: Societal Reactions to Hopes and Threats of Autonomous Agent Actions: Reflections about Public Opinion and Technology Implementations. Human-Computer Interaction, 37(3), 259-262. https://doi.org/10.1080/07370024.2021.1976642
Mediaoptreden
- van Drunen, M., Kieslich, K., Morosoli, S. & Resendez Gómez, V. (18-11-2023). Partijen hebben het punt van de toeslagenaffaire gemist: AI’s risico’s zijn breder [Web] Stuk Rood Vlees. AI in Dutch party manifestos and the child benefit scandal. https://stukroodvlees.nl/partijen-hebben-het-punt-van-de-toeslagenaffaire-gemist-ais-risicos-zijn-breder/
2024
- Kieslich, K. (2024). The role of public opinion on ethical AI principles and its implication for a common good-oriented implementation. [Thesis, fully external, University of Hohenheim]. https://doi.org/10.60848/10892
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Nevenwerkzaamheden
Geen nevenwerkzaamheden
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). Association for Computing Machinery.