MIT Sloan Artificial Intelligence
ARTIFICIAL INTELLIGENCE EXPERTS

Georgia Perakis
John C Head III Dean (Interim), MIT Sloan School of Management
Georgia Perakis is the John C Head III Dean (Interim) of the MIT Sloan School of Management and a Professor of Operations Management, Operations Research & Statistics at the MIT Sloan School of Management. She has been on the faculty at MIT Sloan…
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Dimitris Bertsimas
Associate Dean for Business Analytics
Dimitris Bertsimas is the Boeing Leaders for Global Operations Professor of Management, a Professor of Operations Research, and the Associate Dean for the Master of Business Analytics at MIT. 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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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 implement…
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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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Stuart Madnick
John Norris Maguire (1960) Professor of Information Technology
Stuart Madnick is the John Norris Maguire (1960) Professor of Information Technology at the MIT Sloan School of Management; Affiliate Faculty member at the MIT Institute for Data, Systems, and Society (IDSS); and the Founding Director of…
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Eric So
Sloan Distinguished Professor of Global Economics and Behavioral Science
Eric So is the Sloan Distinguished Professor of Global Economics and Behavioral Science and Professor, Global Economics and Management at MIT Sloan, where he studies how human nature and technology interact with incentives to shape decision making…
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David G. Rand
Erwin H. Schell Professor
David Rand is the Erwin H. Schell Professor and Professor of Management Science and Brain and Cognitive Sciences at MIT, the director of the Applied Cooperation Initiative, and an affiliate of the MIT Institute of Data, Systems, and Society, and the…
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Thomas W. Malone
Patrick J. McGovern (1959) Professor of Management
Thomas W. Malone is the Patrick J. McGovern (1959) Professor of Management at the MIT Sloan School of Management and the founding director of the MIT Center for Collective Intelligence. At MIT, he is also a Professor of Information Technology and a…
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Renee Richardson Gosline
Senior Lecturer, Marketing
Renée Richardson Gosline is a Research Scientist and Senior Lecturer at the MIT Sloan School of Management, and head of the Human-First AI group at MIT's Initiative on The Digital Economy. She is an expert on the intersection between behavioral…
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Keri Pearlson
Senior Lecturer
Keri Pearlson is a Senior Lecturer and a Principal Research Scientist at the MIT Sloan School. She previously served as the Executive Director of the CAMS (Cybersecurity At MIT Sloan) research consortium. Pearlson has held positions in academia and…
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Jonathan Ruane
Research Scientist
Jonathan Ruane is a Lecturer in the Global Economics and Management group at the MIT Sloan School of Management and a Research Scientist at MIT’s Initiative on the Digital Economy (IDE). His interests are at the intersection of digital technology,…
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Nikos Trichakis
Associate Dean of Social and Ethical Responsibilities of Computing, MIT Schwarzman College of Computing and MIT Sloan
Nikolaos (Nikos) Trichakis is the Associate Dean, Social and Ethical Responsibilities of Computing, MIT Schwarzman Colleg of Computing and MIT Sloan, the J.C. Penney Professor of Management and a Professor of Operations Management at the MIT Sloan…
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Vivek F. Farias
Patrick J. McGovern (1959) Professor
Vivek is interested in the development of new methodologies and applications for large scale dynamic optimization. He received his PhD in electrical engineering from Stanford University in 2007 and is the Patrick J. McGovern (1959) Professor at MIT…
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Neil Thompson
Research Scientist
Neil Thompson is an Innovation Scholar at MIT’s Computer Science and Artificial Intelligence Lab and the Initiative on the Digital Economy. He is also an Associate Member of the Broad Institute.Previously, he was an Assistant Professor of…
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"Algorithmic Challenges in Ensuring Fairness at the Time of Decision."
Salem, Jad, Swati Gupta, and Vijay Kamble. Operations Research. Forthcoming. arXiv Preprint.
"Fair and Reliable Reconnections for Temporary Disruptions in Electric Distribution Networks."
Gupta, Swati, Cyrus Hettle, and Daniel Molzahn. INFORMS Journal on Computing. Forthcoming.
"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. Forthcoming.
"Inoculation and Accuracy Prompting Increase Accuracy Discernment in Combination But Not Alone."
Pennycook, Gordon, Adam J. Berinsky, Puneet Bhargava, Hause Lin, Rocky Cole, Beth Goldberg, Stephan Lewandowsky, and David G. Rand. Nature Human Behaviour. Forthcoming.
"Machine Learning as a Tool for Principled Investigation of Experimental Moderators: A Case Study Using In-Group Favoritism Caused by Pokémon Go."
Peysakhovich, Alexander and David G. Rand. Scientific Reports. Forthcoming.
"Psychological Underpinnings of Partisan Bias in Tie Formation on Social Media."
Mosleh, Mohsen, Cameron Martel, and David G. Rand. Journal of Experimental Psychology: General. 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.
"When Combinations of Humans and AI are Useful: A Systematic Review and Meta-analysis."
Vaccaro, Michelle, Abdullah Almaatouq, and Thomas Malone. Nature Human Behaviour. Forthcoming.
"Equitably Allocating Wildfire Resilience Investments for Power Grids — The Curse of Aggregation and Vulnerability Indices."
Pollack, Madeleine, Ryan Piansky, Swati Gupta, and Daniel Molzahn. Applied Energy Vol. 388, (2025): 125511.
"Republicans are Flagged more often than Democrats for Sharing Misinformation on X’s Community Notes."
Renault, Thomas, Mohsen Mosleh, and David Rand, Working Paper. January 2025. PsyArXiv.
Artificial Intelligence In The News
What to know about the GENIUS Act, a crypto regulation bill
"This opens the floodgates," research scientist Christian Catalini said. "You'll see entry by many issuers. Consumers will all have more choices. This will bring more competition and innovation in payments."
AI confidence is surging in marketing — but so are the risks
According to recent industry surveys, over 60% of marketers already use AI tools for content creation, and nearly 80% plan to expand adoption in 2025. "AI should augment marketers, not replace them. Its strengths lie in speed and scale, not judgment," professor Sinan Aral said.
Google DeepMind's AI agent dreams up algorithms beyond human expertise
Research scientist Neil Thompson says that a key question is not just whether AI algorithms can exhibit original ideas, but how generally this may apply to scientific research and innovation. "If these capabilities can be used to tackle bigger, less tightly-scoped problems, it has the potential to accelerate innovation — and thus prosperity."
Artificial intelligence: A revolution underway in finance and trading
Auto trading (or algorithmic trading) has become so successful that it now accounts for a significant portion of trading in financial markets. As professor Andrew W. Lo explains, "Trading algorithms exploit opportunities that even the most experienced human traders cannot detect in time." However, while auto-trading offers unparalleled execution speed, it also requires constant vigilance.
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