Daniel Zhang, Caroline Meinhardt, Jiajun Wu, and Russell Wald | The World Model and Spatial Intelligence Era: Governing AI Beyond Language
As AI moves beyond language into systems that can perceive, understand, and act in the physical world, a new frontier is emerging: world models—AI systems that build and maintain working representations of real environments to predict how they change in response to action.
Building upon a recent Stanford HAI Policy Brief, this seminar will examine how world models could transform infrastructure planning, crisis response, scientific experimentation, and embodied AI, while raising distinct governance challenges that today's language-focused AI policy fails to address.
Related Events
Alexandr Lenk & Arvind Karunakaran | Industry Conversation with Instacart
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Empirical Methods in the Age of AI Conference
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
