Artificial intelligence has become one of the defining technologies of our time. But what if the way we’re thinking about AI – starting with the very idea of “intelligence” – is too narrow? Today’s guest has spent decades helping shape our understanding of machine learning and its connections to statistics, computation, cognition and decision-making. Michael Jordan is a researcher at Inria Paris and Professor Emeritus at the University of California, Berkeley and will be joining us in San Francisco as the opening plenary speaker at the 2026 INFORMS Annual Meeting, where he’ll present “A Collectivist, Economic Perspective on AI.”
Tags: AI, Annual Meeting, artificial intelligence
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