John Nicholas Brown Center for Advanced Study

BrAInstorm: AI Crossing the Disciplines – A Conversation Series

A collaboration between the office of the Associate Provost for AI and the John Nicholas Brown Center for Advanced Study, BrAInstorm: AI Crossing the Disciplines – A Conversation Series pairs Brown faculty members from strikingly different fields of study for lively, extemporaneous and audience-inclusive discussion of the (evolving) roles AI plays in their research and teaching.

March 4, 2026 

This conversation featured Ellie Pavlick (Briger Family Distinguished Associate Professor of Computer Science, Associate Professor of Linguistics, Associate Professor of Cognitive and Psychological Sciences) and Junehyuk Jung (Professor of Mathematics) and was moderated by Michael Littman, Associate Provost for AI, and Kevin McLaughlin, Director of the John Nicholas Brown Center for Advanced Study (JNBC).

Enjoy the shorts below to discover key moments. Recording of the full conversation is also available.

AI and mathematicians

 

Michael Littman and Junehyuk Jung describe how mathematical research is being done with AI, combatting myths that humans will be replaced. (3:00)

Both are fallible

 

Junehyuk Jung shares his awareness of AI hallucinations. Ellie Pavlick counters with the observation that humans are also fallible. (3:30)

Reasoning Traces in AI

 

Ellie Pavlick discusses reasoning models in AI.

November 12, 2025 

The series' debut conversation featured Loukas Gouskos (Christopher M. Barter Assistant Professor of Physics) and Emily Oster (JJE Goldman Sachs University Professor of Economics) and was moderated by Michael Littman, Associate Provost for AI, and Kevin McLaughlin, Director of the John Nicholas Brown Center for Advanced Study (JNBC).

Enjoy the shorts below to discover key moments. Recording of the full conversation is also available.

Tungsten cubes or centaurs?

 

Emily Oster discusses the uses and limitations of AI in economics, stating that AI is a tool but should not take over human decision making (2:06)

Fundamentals come first

 

Physicist Loukas Gouskos recommends not using AI while learning the fundamentals of physics, advising that there are no shortcuts to success (0:52)

Why teach multiplication?

 

Michael Littman asks how we can convince students to embrace the struggle of learning and resist the temptation of using AI in their coursework (2:02)