Michal Kosinski Keynote Speaker

  • Associate Professor at Stanford University’s Graduate School of Business
  • Acclaimed academic & groundbreaking researcher in the fields of AI, Tech, Big Data & Psychology
  • Leading Expert on the study of Artificial Intelligence (AI) and its Societal and Organizational Impact

Michal Kosinski's Biography

Michal Kosinski, Ph.D., is an Associate Professor at Stanford University’s Graduate School of Business, where he engages in groundbreaking research on the implications of Artificial Intelligence (AI) within societal and organizational structures.

Kosinski co-authored the popular textbook Modern Psychometrics and has published more than 90 peer-reviewed papers in esteemed journals, such as Proceedings of the National Academy of Sciences (PNAS), Nature Scientific Reports, Psychological Science, Journal of Personality and Social Psychology (JPSP), and Machine Learning. These works have garnered over 18,000 citations, placing him among the Top 1% of Highly Cited Researchers, as recognized by Clarivate. His research has had a broad societal impact, inspiring a cover of The Economist, a 2014 theater production called “Privacy,” multiple TED talks, a video game, and extensive coverage in media outlets, books, podcasts, and documentaries. He received a Rising Star award from the Association of Psychological Science in 2015 and an Early Achievement Award from the European Association of Personality Psychology in 2023.

Kosinski was the driving force behind the first press article that warned about the risks associated with Cambridge Analytica. His research explored the privacy issues they capitalized on and assessed the effectiveness of their strategies. His role in this matter has been detailed in Steven Levy’s book Facebook: The Inside Story and in Sander van der Linden’s article Weapons of Mass Persuasion.

He earned his Ph.D. in psychology from the University of Cambridge and holds master’s degrees in both psychometrics and social psychology. Before joining Stanford, Kosinski was a post-doctoral scholar in Stanford’s Computer Science Department, the Deputy Director of the University of Cambridge Psychometrics Centre, and a researcher in Microsoft Research’s Machine Learning Group.

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Michal Kosinski's Speaking Topics

  • Navigating the AI Revolution: Impacts on Organizations, Societies, and Individuals

Artificial Intelligence (AI), particularly Large Language Models (LLMs), has made significant strides in recent years, transforming the way we live and work. This talk delves into the wide-ranging implications of AI for modern leaders, organizations, societies, and individuals. By understanding the capabilities and limitations of these advanced models, leaders can harness their potential for decision-making, creativity, collaboration, and problem-solving. We will address critical questions surrounding the ethical, economic, and social aspects of LLMs and AI, exploring their impact on the workforce, privacy, accountability, and the future of human-AI interactions. Join us for an engaging and thought-provoking discussion on navigating the AI revolution and shaping a better future for all stakeholders.

  • Harnessing the Power of Artificial Intelligence to Improve Decision-Making

Artificial intelligence (AI) is increasingly used to make decisions affecting individuals, societies, and organizations. Modern leaders need to understand the opportunities and challenges related to AI's growing importance. In this talk, we will discuss a number of important and timely questions pertaining to AI: How does it work? What is fueling its growing popularity? How is it transforming industries and business models? Can it be creative? Can it make fair decisions? Can AI decisions be interpreted? When is AI better than human decision makers? When will AI take over the world?

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Videos of Michal Kosinski

End of privacy | Michał Kosiński | TEDxDługaSt
End of privacy | Michał Kosiński | TEDxDługaSt
Talk: Spontaneous Emergence of Theory of Mind in Large Language Models
Talk: Spontaneous Emergence of Theory of Mind in Large Language Models
Science behind Personality AI
Science behind Personality AI

Articles, Media & Podcasts

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