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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.

HAI Policy Fellow Riana Pfefferkorn speaks about a new law in effect, criminalizing the creation, distribution, and possession of AI-generated child sexual abuse material.
HAI Policy Fellow Riana Pfefferkorn speaks about a new law in effect, criminalizing the creation, distribution, and possession of AI-generated child sexual abuse material.

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.


Stanford HAI has built a major portfolio of education opportunities for state, federal, and international policy leaders to strengthen AI governance.
Stanford HAI has built a major portfolio of education opportunities for state, federal, and international policy leaders to strengthen AI governance.


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.
