Government, Public Administration
How can governments around the world effectively and safely use AI to improve public services?
Companies That Buy and Sell Your Data Are Not Following California’s Strict Privacy Laws
A new Stanford study shows data brokers are making it difficult for consumers to submit privacy requests and failing to report how many privacy requests they receive.
A new Stanford study shows data brokers are making it difficult for consumers to submit privacy requests and failing to report how many privacy requests they receive.
This methodological paper presents the Global AI Vibrancy Tool, an interactive suite of visualizations designed to facilitate cross-country comparisons of AI vibrancy across countries, using indicators organized into pillars. The tool offers customizable features that enable users to conduct in-depth country-level comparisons and longitudinal analyses of AI-related metrics.
This methodological paper presents the Global AI Vibrancy Tool, an interactive suite of visualizations designed to facilitate cross-country comparisons of AI vibrancy across countries, using indicators organized into pillars. The tool offers customizable features that enable users to conduct in-depth country-level comparisons and longitudinal analyses of AI-related metrics.
This brief introduces a novel AI tool that performs statutory surveys to help governments—such as the San Francisco City Attorney Office—identify policy sludge and accelerate legal reform.
This brief introduces a novel AI tool that performs statutory surveys to help governments—such as the San Francisco City Attorney Office—identify policy sludge and accelerate legal reform.
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.
All Work Published on Government, Public Administration
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.
Assessing the Implementation of Federal AI Leadership and Compliance Mandates
This white paper assesses federal efforts to advance leadership on AI innovation and governance through recent executive actions and emphasizes the need for senior-level leadership to achieve a whole-of-government approach.
This white paper assesses federal efforts to advance leadership on AI innovation and governance through recent executive actions and emphasizes the need for senior-level leadership to achieve a whole-of-government approach.
HAI Executive Director Russell Wald and AI Index Lead Sha Sajadieh discuss the trends in the 2026 AI Index regarding the stark contrast between American public sentiment and Chinese public sentiment when asked their excitement levels for AI adoption.
HAI Executive Director Russell Wald and AI Index Lead Sha Sajadieh discuss the trends in the 2026 AI Index regarding the stark contrast between American public sentiment and Chinese public sentiment when asked their excitement levels for AI adoption.
Expanding Academia’s Role in Public Sector AI
This brief analyzes the disparity between academia and industry in frontier AI research and presents policy recommendations for ensuring a stronger role for academia in public sector AI.
This brief analyzes the disparity between academia and industry in frontier AI research and presents policy recommendations for ensuring a stronger role for academia in public sector AI.
AI Sovereignty’s Definitional Dilemma
Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.
Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.
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.
