All Work Published on Regulation, Policy, Governance
Stanford researchers scanned 500 million words of state law to reveal the stunning growth of reporting requirements, and are now giving governments a tool to clean them up.
Stanford researchers scanned 500 million words of state law to reveal the stunning growth of reporting requirements, and are now giving governments a tool to clean them up.
Michelle M. Mello's Testimony Before the U.S. House Committee on Energy and Commerce Health Subcommittee
In this testimony presented to the U.S. House Committee on Energy and Commerce’s Subcommittee on Health hearing titled “Examining Opportunities to Advance American Health Care through the Use of Artificial Intelligence Technologies,” Michelle M. Mello calls for policy changes that will promote effective integration of AI tools into healthcare by strengthening trust.
In this testimony presented to the U.S. House Committee on Energy and Commerce’s Subcommittee on Health hearing titled “Examining Opportunities to Advance American Health Care through the Use of Artificial Intelligence Technologies,” Michelle M. Mello calls for policy changes that will promote effective integration of AI tools into healthcare by strengthening trust.
The AI Sovereignty Paradox: Should Countries Buy, Build, or Lease to Maintain Strategic Control of Their AI?
As nations invest billions to reduce reliance on foreign AI providers, a new Stanford HAI report surveys commercial sovereignty solutions and assesses the extent to which they meaningfully reduce dependencies on U.S. tech giants.
As nations invest billions to reduce reliance on foreign AI providers, a new Stanford HAI report surveys commercial sovereignty solutions and assesses the extent to which they meaningfully reduce dependencies on U.S. tech giants.
Response to the Department of Education’s Request for Information on AI in Education
Stanford scholars respond to a federal RFI on advancing AI in education, urging policymakers to anchor their approach in proven research.
Stanford scholars respond to a federal RFI on advancing AI in education, urging policymakers to anchor their approach in proven research.
The state of New York is working to overhaul their antiquated and problematic regulations using AI tools developed by HAI Associate Director Dan Ho.
The state of New York is working to overhaul their antiquated and problematic regulations using AI tools developed by HAI Associate Director Dan Ho.
This brief evaluates the impact of authorship labels on the persuasiveness of AI-written policy messages.
This brief evaluates the impact of authorship labels on the persuasiveness of AI-written policy messages.
