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
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
Navigate
  • About
  • Events
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

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

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 HAI | Senior Fellow, Stanford Institute for Economic and Policy Research | Director of the Regulation, Evaluation, and Governance Lab (RegLab)
    Dan Ho headshot

Related Publications

Toward Responsible AI in Health Insurance Decision-Making
Michelle Mello, Artem Trotsyuk, Abdoul Jalil Djiberou Mahamadou, Danton Char
Quick ReadFeb 10, 2026
Policy Brief

This brief proposes governance mechanisms for the growing use of AI in health insurance utilization review.

Policy Brief

Toward Responsible AI in Health Insurance Decision-Making

Michelle Mello, Artem Trotsyuk, Abdoul Jalil Djiberou Mahamadou, Danton Char
HealthcareRegulation, Policy, GovernanceQuick ReadFeb 10

This brief proposes governance mechanisms for the growing use of AI in health insurance utilization review.

Response to OSTP's Request for Information on Accelerating the American Scientific Enterprise
Rishi Bommasani, John Etchemendy, Surya Ganguli, Daniel E. Ho, Guido Imbens, James Landay, Fei-Fei Li, Russell Wald
Quick ReadDec 26, 2025
Response to Request

Stanford scholars respond to a federal RFI on scientific discovery, calling for the government to support a new “team science” academic research model for AI-enabled discovery.

Response to Request

Response to OSTP's Request for Information on Accelerating the American Scientific Enterprise

Rishi Bommasani, John Etchemendy, Surya Ganguli, Daniel E. Ho, Guido Imbens, James Landay, Fei-Fei Li, Russell Wald
Sciences (Social, Health, Biological, Physical)Regulation, Policy, GovernanceQuick ReadDec 26

Stanford scholars respond to a federal RFI on scientific discovery, calling for the government to support a new “team science” academic research model for AI-enabled discovery.

Response to FDA's Request for Comment on AI-Enabled Medical Devices
Desmond C. Ong, Jared Moore, Nicole Martinez-Martin, Caroline Meinhardt, Eric Lin, William Agnew
Quick ReadDec 02, 2025
Response to Request

Stanford scholars respond to a federal RFC on evaluating AI-enabled medical devices, recommending policy interventions to help mitigate the harms of AI-powered chatbots used as therapists.

Response to Request

Response to FDA's Request for Comment on AI-Enabled Medical Devices

Desmond C. Ong, Jared Moore, Nicole Martinez-Martin, Caroline Meinhardt, Eric Lin, William Agnew
HealthcareRegulation, Policy, GovernanceQuick ReadDec 02

Stanford scholars respond to a federal RFC on evaluating AI-enabled medical devices, recommending policy interventions to help mitigate the harms of AI-powered chatbots used as therapists.

Russ Altman’s Testimony Before the U.S. Senate Committee on Health, Education, Labor, and Pensions
Russ Altman
Quick ReadOct 09, 2025
Testimony

In this testimony presented to the U.S. Senate Committee on Health, Education, Labor, and Pensions hearing titled “AI’s Potential to Support Patients, Workers, Children, and Families,” Russ Altman highlights opportunities for congressional support to make AI applications for patient care and drug discovery stronger, safer, and human-centered.

Testimony

Russ Altman’s Testimony Before the U.S. Senate Committee on Health, Education, Labor, and Pensions

Russ Altman
HealthcareRegulation, Policy, GovernanceSciences (Social, Health, Biological, Physical)Quick ReadOct 09

In this testimony presented to the U.S. Senate Committee on Health, Education, Labor, and Pensions hearing titled “AI’s Potential to Support Patients, Workers, Children, and Families,” Russ Altman highlights opportunities for congressional support to make AI applications for patient care and drug discovery stronger, safer, and human-centered.