Rate My Professor Nils Köbis

Köbis's research centers on corruption, unethical and ethical behavior, social norms, and the human dimensions of artificial intelligence, including how algorithms and machines influence human decision-making and moral conduct. His work explores the psychological effects of AI, such as delegation to AI increasing dishonest behavior and lie detection algorithms disrupting social dynamics. Key publications include 'Delegation to artificial intelligence can increase dishonest behavior' in Nature (2025, with Z. Rahwan et al.); 'Lie detection algorithms disrupt the social dynamics of accusation behavior' in iScience (2024, with A. von Schenk et al.); 'Conditional bribery: Insights from incentivized experiments across 18 nations' in Proceedings of the National Academy of Sciences (2023, with A.R. Dorrough et al.); 'Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty' in The Economic Journal (2023, with M. Leib et al.); 'Social Preferences Toward Humans and Machines: A Systematic Experiment on the Role of Machine Payoffs' in Perspectives on Psychological Science (2023, with A. Schenk and V. Klockmann); 'The promise and perils of using artificial intelligence to fight corruption' in Nature Machine Intelligence (2022); and 'Bad machines corrupt good morals' in Nature Human Behaviour (2021). These contributions have advanced understandings of AI's behavioral impacts and anti-corruption applications through empirical studies and interdisciplinary insights.