Accelerated research about generative AI
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
Faculty
Manish Raghavan is the Drew Houston (2005) Career Development Professor and an Assistant Professor of Information Technology at the MIT Sloan School of Management.
Manish was most recently a postdoctoral fellow at the Harvard Center for Research on Computation and Society (CRCS), working with Cynthia Dwork.
He completed his PhD at the computer science department at Cornell University, advised by Jon Kleinberg. His research studies the impacts of computational tools on society with a focus on decision-making, behavioral economics, and hiring algorithms.
Kleinberg, Jon, Sendhil Mullainathan, and Manish Raghavan. Management Science Vol. 70, No. 9 (2024): 6336-6355. Cornell Chronicle.
Cynthia Dwork, Chris Hays, Jon Kleinberg, and Manish Raghavan. June 2024. arXiv.
Raghavan, Manish and Pauline T. Kim. Georgetown Law Technology Review, January 2024.
Kleinberg, Jon, Jens Ludwig, Sendhil Mullainathan, and Manish Raghavan. Perspectives on Psychological Science Vol. 19, No. 5 (2024): 827-838.
Raghavan, Manish. Communications of the ACM, January 2024.
Morewedge, Carey K., Sendhil Mullainathan, Haaya F. Naushan, Cass R. Sunstein,Jon Kleinberg, Manish Raghavan, and Jens O. Ludwig. Nature Human Behaviour, November 2023.
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
Assistant Professor Manish Raghavan wants to teach his students how to make good business decisions about deploying (or not deploying) AI-based products and services.
“There’s a finite number of jobs that you know about. There are more you don’t.”