Episode 2309: Michal Kosinski on the corrosive impact of social media on democracy and freedom

The Stanford Business School professor Michal Kosinski has spent his career warning about the corrosive impact of technology, and particularly social media, on democratic institutions and individual freedom. The Polish born academic gained notoriety for his research at Cambridge University on how social media data could predict intimate personal traits. His work became particularly relevant during the Cambridge Analytica scandal in 2016, leading to significant legal consequences for Facebook, including a $50 billion fine. In this KEEN ON conversation with Kosinski, recorded in Munich at DLD, he emphasizes that Facebook wasn't inherently malicious but failed to understand the full implications of their intrusive technology. Kosinksi connects social media's rise with the growth of populism, explaining how platforms enabled figures like Trump and even Bernie Sanders to bypass traditional political gatekeepers. Kosinski also discusses his controversial 2017 research showing that AI can predict personal characteristics, including sexual orientation, from facial features. On privacy, Kosinski believes that complete privacy protection may be impossible in the modern digital age. Instead, he advocates for building social and legal systems that make privacy invasions less dangerous. Looking to the future, Kosinski expresses short-term optimism about AI's potential to improve lives but long-term concern about the risks of artificial general intelligence (AGI). He notes that while we may see increased prosperity and advancement in the near future, the exponential acceleration of technological progress means long-term risks could materialize much sooner than expected.

Michal Kosinski is an Associate Professor of Organizational Behavior at Stanford 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 Handbook of Social Psychology and Modern Psychometrics, two popular textbooks, and has published over 100 peer-reviewed papers in prominent journals such as Proceedings of the National Academy of Sciences, Nature Computational Science, Psychological Science, Journal of Personality and Social Psychology, Machine Learning, and Scientific Reports, which have been cited over 22,000 times. He 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, and a video game. It has been featured in thousands of press articles, books, podcasts, and documentaries. He received a Rising Star award from the Association of Psychological Science (2015) and an Early Achievement Award from the European Association of Personality Psychology (2023). He was behind the