I'm Nils, the head of the chair Human Understanding of Algorithms and Machines at the Research Center, University Duisburg-Essen, and an affiliated researcher at the Center for Humans and Machines (Max Planck Institute for Human Development).
My work deals with corruption, (un-)ethical behavior, social norms, and, more recently, artificial intelligence. I am a co-founder of the Interdisciplinary Corruption Research Network and, together with Matthew Stephenson and Christopher Starke founded and co-hosted the KickBack - Global AntiCorruption Podcast. Previously, I completed a Post-Doc CREED, Department of Economics, University of Amsterdam and a Ph.D. in Social Psychology at the VU Free University Amsterdam.
You can find my CV here.
Köbis, N., Starke, C., & Rahwan, I. (2022). The promise and perils of using artificial intelligence to fight corruption. Nature Machine Intelligence, 4(5), 418-424. https://doi.org/10.1038/s42256-022-00489-1
Köbis, N., Bonnefon, J. F., & Rahwan, I. (2021). Bad machines corrupt good morals. Nature Human Behaviour, 5(6), 679-685. https://doi.org/10.1038/s41562-021-01128-2
*Leib, M., *Köbis, N., Rilke, R. M., Hagens, M., & Irlenbusch, B. (2024). Corrupted by algorithms? how ai-generated and human-written advice shape (dis) honesty. The Economic Journal, 134(658), 766-784. https://doi.org/10.1093/ej/uead056
*Dorrough, A. R., *Köbis, N., Irlenbusch, B., Shalvi, S., & Glöckner, A. (2023). Conditional bribery: Insights from incentivized experiments across 18 nations. Proceedings of the National Academy of Sciences, 120(18), e2209731120. https://doi.org/10.1073/pnas.2209731120
Köbis, N., & Mossink, L. D. (2021). Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry. Computers in Human Behavior, 114, 106553. https://doi.org/10.1016/j.chb.2020.106553
von Schenk, A., Klockmann, V., & Köbis, N. (2023). Social preferences toward humans and machines: a systematic experiment on the role of machine payoffs. Perspectives on Psychological Science, 17456916231194949. https://doi.org/10.1177/17456916231194949
von Schenk, A., Klockmann, V., Bonnefon, J. F., Rahwan, I., & Köbis, N. (2024). Lie detection algorithms disrupt the social dynamics of accusation behavior. iScience, 27(7). https://doi.org/10.1016/j.isci.2024.110201
* shared first-authorship
