Manish Raghavan

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Manish Raghavan

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Affiliated MIT Sloan Group

MIT Department

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.

Publications

"Competition and Diversity in Generative AI."

Raghavan, Manish, MIT Sloan Working Paper 7186-24. Cambridge, MA: MIT Sloan School of Management, December 2024.

"Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework."

Alur, Rohan, Loren Laine, Darrick K. Li, Dennis Shung, Manish Raghavan, and Devavrat Shah, Working Paper. October 2024.

"Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models."

Suriyakumar, Vinith M., Rohan Alur, Ayush Sekhari, Manish Raghavan, and Ashia C. Wilson, Working Paper. October 2024.

"The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization."

Kleinberg, Jon, Sendhil Mullainathan, and Manish Raghavan. Management Science Vol. 70, No. 9 (2024): 6336-6355. Cornell Chronicle.

"Equilibria, Efficiency, and Inequality in Network Formation for Hiring and Opportunity."

Cynthia Dwork, Chris Hays, Jon Kleinberg, and Manish Raghavan. June 2024. arXiv.

"Human Expertise in Algorithmic Prediction."

Alur, Rohan, Manish Raghavan, and Devavrat Shah, Working Paper. May 2024.

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Accelerated research about generative AI

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Making Good Business Decisions About AI

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.

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