Manish Raghavan
Drew Houston (2005) Career Development Professor at the MIT Sloan School of Management and Department of Electrical Engineering and Computer Science

250 Sutardja Dai Hall
Thursday, March 20, 2025 at 11 AM

Human-AI systems seek to leverage complementary strengths and cover for weaknesses. In this talk, we will discuss two settings in which information plays a key role: clinical decision-making and content production. At a high level, we study the impact of (1) differences in information between humans and AI, and (2) homogeneity in information between humans using the same AI.

Speaker Bio

Manish Raghavan is the Drew Houston (2005) Career Development Professor at the MIT Sloan School of Management and Department of Electrical Engineering and Computer Science. Before that, he was a postdoctoral fellow at the Harvard Center for Research on Computation and Society (CRCS). His research centers on the societal impacts of algorithmic decision making