A Collectivist, Economic Perspective on AI Systems
Pehong Chen Distinguished Professor of EECS and Statistics
54:44·2026·graduate level·Research Seminar
Reframes large-scale machine learning around microeconomic mechanism design—where uncertainty quantification interacts with strategic incentives, scarcity, and multi-agent markets.
Michael I. Jordan is an American computer scientist and statistician widely regarded as one of the pioneers of modern machine learning and artificial intelligence. He has made foundational contributions to probabilistic modeling, statistical learning, and data science.
Introduction
New AI research challenges
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