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

"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.

"Limitations of the “Four-Fifths Rule” and Statistical Parity Tests for Measuring Fairness."

Raghavan, Manish and Pauline T. Kim. Georgetown Law Technology Review, January 2024.

"The Inversion Problem: Why Algorithms Should Infer Mental State and Not Just Predict Behavior."

Kleinberg, Jon, Jens Ludwig, Sendhil Mullainathan, and Manish Raghavan. Perspectives on Psychological Science Vol. 19, No. 5 (2024): 827-838.

"What Should We Do when Our Ideas of Fairness Conflict?"

Raghavan, Manish. Communications of the ACM, January 2024.

"Human Bias in Algorithm Design."

Morewedge, Carey K., Sendhil Mullainathan, Haaya F. Naushan, Cass R. Sunstein,Jon Kleinberg, Manish Raghavan, and Jens O. Ludwig. Nature Human Behaviour, November 2023.

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Ideas Made to Matter

Accelerated research about generative AI

Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.

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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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