Understanding human sociality: From brain to behavior to society
Colloquium | September 5 | 5:15-6:15 p.m. | 1104 Berkeley Way West
Professor Ming Hsu
Abstract: There is increasing concern that the proliferation of AI-driven automationparticularly in areas dealing with labor markets, education, and criminal justicemay perpetuate and even amplify preexisting biases and social inequities facing certain groups of individuals. However, despite the rich social scientific literature on these topics, we are still far from methods and tools that can recognize, quantify, and correct social biases at the scale necessary to address these societal challenges. Here we connect our work in computational neuroscience of social behavior with machine learning approaches, and develop models that are able to (i) make accurate out-of-sample predictions of social decision-making in both lab and field settings and (ii) scale and generalize to societally relevant challenges.