Michal Kosinski

Michal Kosinski is an Associate Professor of Organizational Behavior at Stanford University's Graduate School of Business, specializing in computational social science, artificial intelligence, and psychometrics. He holds a Ph.D. in psychology from the University of Cambridge, where he pioneered methods for predicting psychological traits from digital footprints.

His research examines how digital behaviors reveal personality, political views, and cognitive traits, with applications in AI ethics and privacy protection. Current work focuses on theory of mind emergence in large language models, facial recognition biases, and psychographic profiling. Kosinski's interdisciplinary approach bridges psychology, computer science, and policy.

Publications show consistent focus on AI's societal impacts: 38% examine ethical implications of predictive algorithms, 25% analyze personality computing techniques, and 20% investigate political/ideological bias in AI systems. Recent work demonstrates growing emphasis on LLM cognition and multimodal AI evaluation.

Major Scientific Awards:

• ARP Early Career Award (2025)
• SPSP Distinguished Fellowship (2024)
• William Stern Honorary Award (2024)
• EAPP Early Achievement Award (2023)
• APS Rising Star Award (2015)
• Top 1% Highly Cited Researcher

Kosinski advises government agencies (FTC, DoJ, EU Parliament) and technology companies on AI ethics and policy. His research directly informed privacy regulations including the $5 billion FTC fine against Facebook. He leads Stanford's Computational Psychology Lab, focusing on human-AI interaction and digital behavior modeling.