Michal Kosinski keynote speaker
- Future of Politics
- Harnessing the Power of Artificial Intelligence to Improve Decision-Making
- Navigating the AI Revolution: Impacts on Organizations, Societies, and Individuals
- Predicting Personality from Human Face
- Societal Impacts of Facial Recognition
- The End of Privacy
Michal Kosinski, PhD, serves as an Associate Professor of Organizational Behavior at Stanford University's Graduate School of Business. His research interests encompass both human and artificial cognition. His current work centers on examining the psychological processes in Large Language Models, and leveraging Artificial Intelligence, Machine Learning, Big Data, and computational techniques to model and predict human behavior.
He co-authored Modern Psychometrics, a popular textbook, and has published over 100 peer-reviewed papers in prominent journals such as Proceedings of the National Academy of Sciences, Nature Scientific Reports, Psychological Science, Journal of Personality and Social Psychology, and Machine Learning, that have been cited over 21,000 times. Dr. Kosinski is among the Top 1% of the Highly Cited Researchers according to Clarivate. His research has inspired a cover of The Economist, a 2014 theatre production titled “Privacy”, several TED talks, a video game, and has been featured in thousands of press articles, books, podcasts, and documentaries. In 2015 he received a Rising Star award from the Association of Psychological Science and in 2023 an Early Achievement Award from the European Association of Personality Psychology.
Michal was behind the first press article warning against Cambridge Analytica. His research exposed the privacy risks that they exploited and assessed the effectiveness of their methods. You can learn more about his role in uncovering their actions in Steven Levy's insightful book "Facebook: The Inside Story" and Sander van der Linden's article, "Weapons of Mass Persuasion."
Dr Kosinski earned a Ph.D. in psychology from the University of Cambridge, as well as master's degrees in psychometrics and social psychology. Prior to his current appointment, he held positions as a post-doctoral scholar in Stanford's Computer Science Department, Deputy Director of the University of Cambridge Psychometrics Centre, and a researcher in Microsoft Research's Machine Learning Group.
