All Work Published on Regulation, Policy, Governance
Biden-era AI safety promises aren't holding up, and Apple's the weakest link
Rishi Bommasani, Society Lead at Stanford Center for Research on Foundation Models, speaks about a new analysis: "Do AI Companies Make Good on Voluntary Commitments to the White House?"
Rishi Bommasani, Society Lead at Stanford Center for Research on Foundation Models, speaks about a new analysis: "Do AI Companies Make Good on Voluntary Commitments to the White House?"
Rethinking Privacy in the AI Era: Policy Provocations for a Data-Centric World
This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.
This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.
Erik Brynjolfsson, HAI Senior Fellow and Director of the Stanford Digital Economy Lab, speaks about AI's policymakers' roles in preparing for AI impacts on the labor markets.
Erik Brynjolfsson, HAI Senior Fellow and Director of the Stanford Digital Economy Lab, speaks about AI's policymakers' roles in preparing for AI impacts on the labor markets.
Daniel E. Ho's Testimony Before the California Senate Governmental Organization Committee and the Senate Budget and Fiscal Review Subcommittee No. 4 on State Administration and General Government
In this testimony presented in the California Senate Hearing “California at the Forefront: Steering AI Towards Ethical Horizons,” Daniel E. Ho offers three recommendations for how California should lead the nation in responsible AI innovation by nurturing and attracting technical talent into public service, democratizing access to computing and data resources, and addressing the information asymmetry about AI risks.
In this testimony presented in the California Senate Hearing “California at the Forefront: Steering AI Towards Ethical Horizons,” Daniel E. Ho offers three recommendations for how California should lead the nation in responsible AI innovation by nurturing and attracting technical talent into public service, democratizing access to computing and data resources, and addressing the information asymmetry about AI risks.
Experts from Stanford HAI and top universities urge policymakers to prioritize scientific understanding to govern frontier AI.
Experts from Stanford HAI and top universities urge policymakers to prioritize scientific understanding to govern frontier AI.
Michelle M. Mello's Testimony Before the U.S. Senate Committee on Finance
In this testimony presented to the U.S. Senate Committee on Finance, Michelle M. Mello provides recommendations on how Congress can support healthcare organizations and health insurers navigating the uncharted territory of AI tools by imposing some guardrails while allowing the rules to evolve with the technology.
In this testimony presented to the U.S. Senate Committee on Finance, Michelle M. Mello provides recommendations on how Congress can support healthcare organizations and health insurers navigating the uncharted territory of AI tools by imposing some guardrails while allowing the rules to evolve with the technology.
