HAI Seminar: The World Model and Spatial Intelligence Era: Governing AI Beyond Language
Stanford HAI proposes first-of-its-kind governance agenda for AI world models beyond language.
“we gradually move from AI that operates primarily through language or a combination of images, audio, and video, to a new class of AI that can maintain a holistic view of the physical environment over time and predict how it might change in response to actions”
Stanford HAI published a thematic report outlining a governance and policy agenda for 'world models' — AI systems that perceive, predict, and act in the physical world, distinct from current language and multimodal models. The seminar frames this as a fundamental shift in AI capability, using wildfire emergency coordination as a motivating use case for why spatial, real-world AI requires new regulatory thinking. This signals that leading AI policy institutions are beginning to formalize frameworks for post-LLM AI governance.