Social Biases in Machine Learning and in Human Nature: What Social Scientists and Computer Scientists Can Learn From Each Other

This 2-day virtual workshop explores social biases in machine learning and in human nature; what social scientists and computer scientists can learn from each other. We bring cutting-edge, innovative sociology, social psychology, cognitive science, and computer science perspectives on the interplay between stereotyping and human and artificial intelligence.

Registration is free.   Registration form and workshop agenda are available on the workshop webpage:  

Registration is free and open to the public.  


Workshop Organizers

  • Susan Fiske

    Eugene Higgins Professor of Pscychology,
    Professor of Psychology and Public Affairs

  • Xuechunzi Bai

    Department of Psychology


We gratefully acknowledge financial support from the Schmidt DataX Fund at Princeton University made possible through a major gift from the Schmidt Futures Foundation and our Princeton University partners:

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