All Work Published on Government, Public Administration
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.
In his new book, Shared Wisdom, the scholar outlines the limits of today’s political and social structures, which he considers caught in historical ruts, and discusses how AI might help to rebuild a flourishing community.
In his new book, Shared Wisdom, the scholar outlines the limits of today’s political and social structures, which he considers caught in historical ruts, and discusses how AI might help to rebuild a flourishing community.
Daniel E. Ho's Testimony Before the House Oversight and Accountability Cybersecurity, Information Technology, and Government Innovation Subcommittee
In this testimony presented to the U.S. House Subcommittee on Cybersecurity, Information Technology, and Government Innovation, Daniel E. Ho recommends six AI governance actions including boosting AI talent, establishing a mandated adverse event reporting system, and funding public AI research initiatives.
In this testimony presented to the U.S. House Subcommittee on Cybersecurity, Information Technology, and Government Innovation, Daniel E. Ho recommends six AI governance actions including boosting AI talent, establishing a mandated adverse event reporting system, and funding public AI research initiatives.
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?"
Responses to OMB's Request for Comment on Draft Policy Guidance on Agency Use of AI
Stanford scholars respond to a federal RFC on the Office of Management and Budget’s (OMB) draft policy guidance on advancing governance, innovation, and risk management for agency use of AI.
Stanford scholars respond to a federal RFC on the Office of Management and Budget’s (OMB) draft policy guidance on advancing governance, innovation, and risk management for agency use of AI.
