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Concerns over the societal impacts of generative AI are prompting a flurry of regulatory and policy responses globally, with initiatives underway in the EU, China, Brazil, Japan, Singapore, the UK, and the US, as well as through multilateral organizations such as the UN, OECD, the African Union, and ASEAN. Proposals range widely, reflecting competing political philosophies.
HAI faculty offer independent critique of the AI debates of the moment.
HAI faculty offer independent critique of the AI debates of the moment.
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.
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.
As the landscape evolves rapidly, this symposium, co-hosted by the Stanford Institute for Human-Centered AI (HAI) and the Stanford Cyber Policy Center, intended to help participants navigate the escalating complexity and make sense of the multifaceted, worldwide policy ecosystem directing society's adoption of AI systems.
With the leaders at global AI Safety Institutes and international organizations, as well as researchers and policy leaders on the ground in the EU, BRICS, and Africa, we aimed to unpack intentions, technical specifics, and core tensions underlying major competing visions for global AI governance. By watching this content, participants stand to gain a critical perspective on the pressure points and the key building blocks guiding our collective trajectory.
