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
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