You’re invited to attend the ”The Art of (Artificial) Reasoning“ talk with Yejin Choi on April 16 from 6 to 8 p.m. at the Schwartz Reisman Innovation Campus as part of the Department of Computer Science’s Distinguished Lecture Series.
Yejin Choi brings unparalleled expertise to one of AI’s most pressing questions: Why do our most advanced models still exhibit ”jagged intelligence” despite impressive benchmark performance? As the Dieter Schwarz Foundation Professor at Stanford University, Distinguished Scientist at NVIDIA, MacArthur Fellow and AI2050 Senior Fellow, she’s uniquely positioned to challenge the “more is more” scaling assumptions that dominate current AI development.
In this talk, Choi will share key insights into the real strengths and limitations of large language models, examine when reinforcement learning succeeds or struggles in reasoning tasks, and explore practical methods for enhancing reasoning capabilities in smaller models. Her research addresses the sustainability and robustness questions that matter whether you’re a student exploring AI careers, faculty designing curricula, alumni working in industry, or researchers pushing technical boundaries.
What you’ll walk away with:
- Firsthand perspective from one of the world’s most influential AI researchers — a MacArthur Fellow and two-time Time100 AI honouree
- Insight into the hidden limits of current scaling strategies that deserve more attention
- New connections across Toronto’s AI community — from lab to boardroom
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