Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
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 | Stanford HAI

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
policyTestimony

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

Date
February 21, 2024
Topics
Regulation, Policy, Governance
Government, Public Administration
Read Paper
abstract

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 collaboration with

Read Paper
Share
Link copied to clipboard!
Authors
  • Dan Ho headshot
    Daniel E. Ho
Related
  • Daniel E. Ho
    William Benjamin Scott and Luna M. Scott Professor of Law | Professor of Political Science | Professor of Computer Science (by courtesy) | Senior Fellow, Stanford Institute for Economic and Policy Research | Director of the Regulation, Evaluation, and Governance Lab (RegLab) | Associate Director, Stanford HAI
    Dan Ho headshot

Related Publications

Designing Loyalty: AI Agents and Conflicts of Interest
Ella Genasci Smith, Victor Y. Wu, Jennifer King
Quick ReadAug 25, 2026
Issue Brief

This brief examines the conflict-of-interest risks posed by AI agents and calls for imposing a duty of loyalty on developers and deployers.

Issue Brief

Designing Loyalty: AI Agents and Conflicts of Interest

Ella Genasci Smith, Victor Y. Wu, Jennifer King
Privacy, Safety, SecurityRegulation, Policy, GovernanceIndustry, InnovationQuick ReadAug 25

This brief examines the conflict-of-interest risks posed by AI agents and calls for imposing a duty of loyalty on developers and deployers.

Regulating Data Brokers in the Age of AI: A California Case Study
Anna-Maria Gueorguieva, Jennifer King, Apoorva Panidapu, Daniel E. Ho
Quick ReadAug 11, 2026
Policy Brief

This brief assesses data broker compliance with California privacy laws and calls for more stringent consumer protections.

Policy Brief

Regulating Data Brokers in the Age of AI: A California Case Study

Anna-Maria Gueorguieva, Jennifer King, Apoorva Panidapu, Daniel E. Ho
Privacy, Safety, SecurityRegulation, Policy, GovernanceQuick ReadAug 11

This brief assesses data broker compliance with California privacy laws and calls for more stringent consumer protections.

The World Model and Spatial Intelligence Era: Governing AI Beyond Language
Daniel Zhang, Russell Wald, Ehsan Adeli, Elena Cryst, Daniel E. Ho, Caroline Meinhardt, Jiajun Wu, Amy Zegart, Fei-Fei Li
Quick ReadJul 27, 2026
Issue Brief

This brief highlights the emergence of world models and outlines a first-of-its-kind governance and policy agenda for the technology.

Issue Brief

The World Model and Spatial Intelligence Era: Governing AI Beyond Language

Daniel Zhang, Russell Wald, Ehsan Adeli, Elena Cryst, Daniel E. Ho, Caroline Meinhardt, Jiajun Wu, Amy Zegart, Fei-Fei Li
Foundation ModelsRegulation, Policy, GovernanceIndustry, InnovationSpatial IntelligenceQuick ReadJul 27

This brief highlights the emergence of world models and outlines a first-of-its-kind governance and policy agenda for the technology.

Operationalizing Real-Time Monitoring of Clinical AI
Zhongnan Fang, Lina Cheuy, Hye Sun Na, Akshay Chaudhari, David B. Larson
Quick ReadMay 14, 2026
Policy Brief

This brief demonstrates how real-time monitoring can address critical gaps in the oversight of radiological AI tools.

Policy Brief

Operationalizing Real-Time Monitoring of Clinical AI

Zhongnan Fang, Lina Cheuy, Hye Sun Na, Akshay Chaudhari, David B. Larson
HealthcareRegulation, Policy, GovernanceQuick ReadMay 14

This brief demonstrates how real-time monitoring can address critical gaps in the oversight of radiological AI tools.