MIT Sloan Artificial Intelligence
Searching for AI expert sources? MIT Sloan School of Management faculty have usable insights for global business leaders.
Featured Experts
- Kate Kellogg’s research helps organizations and leaders develop and implement predictive and generative AI products to improve decision making, collaboration, and learning.
- Eric So's work combines economics and behavioral science to study the interactions between human nature, incentive systems, and technology.
Artificial Intelligence Experts
Kate Kellogg
Hear name pronounced.David J. McGrath jr (1959) Professor of Management and Innovation
Kate Kellogg is the David J. McGrath jr Professor of Management and Innovation, a Professor of Business Administration at the MIT Sloan School of Management. Kate's research focuses on helping knowledge workers and organizations develop and…
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Eric So
Sloan Distinguished Professor of Global Economics and Behavioral Science
Eric So is a tenured full professor at MIT Sloan. For more information, including his bio and CV, please visit his website: https://ericso.pro
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Georgia Perakis
William F. Pounds Professor of Management
Georgia Perakis is a Professor of Operations Management, Operations Research & Statistics at the MIT Sloan School of Management. She has been on the faculty at MIT Sloan since July 1998. Perakis teaches courses and performs research in analytics/AI,…
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Dimitris Bertsimas
Associate Dean, Online Education & Artificial Intelligence
Dimitris Bertsimas is the Boeing Leaders for Global Operations Professor of Management, a Professor of Operations Research, and the Associate Dean, Online Education & Artificial Intelligence. He was named Vice Provost for Open Learning in September…
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Swati Gupta
Class of 1947 Career Development Associate Professor
Swati Gupta is the Class of 1947 Career Development Associate Professor and an Associate Professor at the MIT Sloan School of Management in the Operations Research and Statistics Group. Her work focuses on deep theoretical questions in optimization…
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Danielle Li
David Sarnoff Professor of Management of Technology
Danielle Li is the David Sarnoff Professor of Management of Technology and a Professor at the MIT Sloan School of Management, as well as a Faculty Research Fellow at the National Bureau of Economic Research. Her research interests are in economics…
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Contact The Media Relations Staff
For help connecting with experts, reach out to the MIT Sloan Media Relations Team.
Artificial Intelligence Research
"Organizational Learning with Generative AI: New Modes of Knowledge Search, Creation, Retention, and Transfer."
Wiesenfeld, Batia Mishan and Katherine C. Kellogg. Strategic Organization. Forthcoming.
"Too many Fairness Metrics: Is there a solution? Equity across Demographic Groups for the Facility Location Problem."
Gupta, Swati, Akhil Jalan, Gireeja Ranade, Helen Yang, and Simon Zhuang (Accepted with minor revision). Fields Institute Communication Series. Forthcoming.
"Hiring as Exploration."
Li, Danielle, Lindsey Raymond, and Peter Bergman. Review of Economic Studies Vol. 93, No. 2 (2026): 1200-1240. Accepted Manuscript.
"Validating LLM Output? Prepare to Be ‘Persuasion Bombed’."
Randazzo, Steven, Akshita Joshi, Katherine C. Kellogg, Hila Lifshitz, and Karim R. Lakhani. Sloan Management Review, February 3, 2026.
"Fair and Reliable Reconnections for Temporary Disruptions in Electric Distribution Networks."
Gupta, Swati, Cyrus Hettle, and Daniel Molzahn. INFORMS Journal on Computing Vol. 38, No. 1 (2026): 67-85. arXiv Preprint.
"Improving Clinical Decision Support through Interpretable Machine Learning and Error Handling in Electronic Health Records."
Arora, Mehak, Hassan Mortagy, Nathan Dwarshuis, Jeffrey Wang, Philip Yang, Andre L Holder, Swati Gupta, and Rishikesan Kamaleswaran. Journal of the American Medical Informatics Association Vol. 33, No. 1 (2026): 123-132. arXiv Preprint.
"Large Language Models Require a New Form of Oversight: Capability-based Monitoring."
Kellogg, Katherine C., Bingyang Ye, Yifan Hu, Guergana K. Savova, Byron Wallace, and Danielle S. Bitterman. npj Digital Medicine Vol. 9, No. 375 (2026).
"Cyborgs, Centaurs and Self-Automators: The Three Modes of Human-GenAI Knowledge Work and Their Implications for Skilling and the Future of Expertise."
Topic: Artificial Intelligence
Randazzo, Steven, Katherine C. Kellogg, Fabrizio Dell'Acqua, Ethan R. Mollick, François Candelon, Karim R. Lakhani, and Lila Lifshitz-Assaf, Working Paper. December 2025. Fortune Article. Video Summary.
Keywords: Generative AI, Artificial Intelligence, Knowledge Work, Co-creation, Human-AI Interaction, Future of Work, Responsible AI
"Provably Small Portfolios for Multiobjective Optimization with Application to Subsidized Facility Location."
Gupta, Swati, Jai Moondra, and Mohit Singh, Working Paper. October 2025.
"GenAI as a Power Persuader: How Professionals Get Persuasion Bombed When They Attempt to Validate LLMs."
Topic: Artificial Intelligence
Steven Randazzo, Akshita Joshi, Katherine C. Kellogg, Hila Lifshitz-Assaf, Fabrizio Dell'Acqua, and Karim R. Lakhani, Working Paper. October 2025.
Keywords: Knowledge work,Persuasion, Generative AI, Artificial Intelligence