Hot Topic Webinars
Featuring leading-edge research findings from a variety of sources, Hot Topics are delivered live online without an attendance cap. Anyone from an MIT CISR member organization (see list below) may register to attend.
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Featuring leading-edge research findings from a variety of sources, Hot Topics are delivered live online without an attendance cap. Anyone from an MIT CISR member organization (see list below) may register to attend.
Because large language models are trained on massive amounts of human-generated data, they can be used to simulate how people might behave in experiments, markets, or strategic settings. The challenge is that these simulations are inconsistent—sometimes they look strikingly human, and other times they fail badly. This session will focus on methods for making AI simulations more reliable, and on experimental evidence showing when and why those methods work.

Benjamin Manning is a PhD candidate at MIT Sloan. His research explores two complementary directions: (1) how artificial intelligence can be used to better understand human behavior, and (2) how, as AI systems increasingly act on behalf of individuals, the tools of economics and information systems can be used to study and improve market outcomes. Prior to his doctoral studies, he was a high school math teacher and then a research assistant. He holds a Master in Public Policy from Harvard and a BA in Mathematics from Washington University in St. Louis.
This event is available to our consortium members and a small number of invited guests. To register, please log-in to your MIT CISR website account, click a "register now" link below and enter your voucher code on the registration form.
Please contact Chris Foglia if you have any questions or if you work at an MIT CISR member organization and you'd like to register but do not have a voucher code.
Founded in 1974 and grounded in MIT's tradition of combining academic knowledge and practical purpose, MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We work directly with digital leaders, executives, and boards to develop our insights. Our research is funded by member organizations that support our work and participate in our consortium.
MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We provide insights on how organizations effectively realize value from approaches such as digital business transformation, data monetization, business ecosystems, and the digital workplace. Founded in 1974 and grounded in MIT’s tradition of combining academic knowledge and practical purpose, we work directly with digital leaders, executives, and boards to develop our insights. Our research is funded by member organizations that support our work and participate in our consortium.