AI policy was built for systems that talk. What happens when AI can also see, navigate, and act in the physical world, and governance frameworks can't keep up? World models are AI systems that build and maintain working representations of real environments, predicting how conditions change in response to action. They could transform infrastructure planning, crisis response, scientific experimentation, and embodied AI. They also raise governance challenges that language-focused policy was not designed to handle. Building on a recent Stanford HAI Policy Brief, this seminar examined both the promise of world models and the gaps in current governance approaches. This video was recorded at Stanford University on September 30, 2026. 00:00:00 Introduction 00:02:07 Presentation 00:23:56 Panel Discussion 00:52:43 Q&A
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