Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Stanford’s Daniel Ho Appointed as Advisor to Biden Administration’s National Artificial Intelligence Advisory Committee | Stanford HAI
Navigate
  • About
  • Events
  • AI Glossary
  • 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

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
newsAnnouncement

Stanford’s Daniel Ho Appointed as Advisor to Biden Administration’s National Artificial Intelligence Advisory Committee

Date
April 14, 2022

In this role, Ho will advise on national AI policy, from competitiveness to workforce implications and societal impacts.

Daniel Ho, William Benjamin Scott and Luna M. Scott Professor of Law and Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI), has been appointed by Secretary of Commerce Gina M. Raimondo to serve as a member of the National Artificial Intelligence Advisory Committee (NAIAC). The NAIAC advises the U.S. President and the National AI Initiative Office and consists of expert leaders from an interdisciplinary range of AI-relevant disciplines from across academia, industry, non-profit organizations and civil society, and federal laboratories. NAIAC members serve three-year terms.

“Dan is a prominent scholar and one of the world’s foremost experts in the regulation of artificial intelligence,” said Jenny Martinez, the Richard E. Lang Professor of Law and dean of Stanford Law School. “An advisory position like this will provide our government with access to Dan’s deep knowledge of all things AI and his strong commitment to understanding the impact of this new technology on our society. 

“It’s a great honor that Stanford HAI Associate Director Dan Ho will have the opportunity to advise the President of the United States on AI through the National Artificial Intelligence Advisory Committee,” said Fei-Fei Li, Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence.” This prestigious appointment is a reflection of Dan’s deep expertise in AI and leadership in policy. The future of AI governance in the U.S. will be better off with Dan’s counsel.” 

Enacted by the U.S. Congress in 2021, the NAIAC will provide recommendations on all aspects pertaining to national AI policy, including competitiveness, scientific progress, workforce implications, government operations, funding, societal impacts, international cooperation, oversight of AI systems, and enhancing opportunities for diverse geographic regions. Congress has directed the NAIAC to submit a report to the President and Congress after the first year, and then again every three years, that provides their findings and recommendations on the initiative.  

“I am humbled and honored to serve on the NAIAC, along with such an esteemed group, to help our nation grapple with the critical questions, opportunities, and challenges that AI poses to our society,” said Ho. “Rapid advances in AI are poised to reshape many aspects of the world and we have a responsibility to think critically about policies, laws, and oversight to ensure that AI improves the quality of life for all.”

Ho is also a professor of Political Science at Stanford; a senior fellow at the Stanford Institute for Economic Policy Research; the director of the Regulation, Evaluation, and Governance Lab (RegLab) at Stanford; and a faculty fellow at the Center for Advanced Study in the Behavioral Sciences.

Ho’s research has been at the forefront of examining public sector AI, bias and discrimination, and regulatory policy. He co-authored a White Paper on the National Research Cloud, spelling out the considerations for creating the a research resource of cloud computing and federal data, as well as a 122-page report on the use of AI by federal government agencies for the Administrative Conference of the United States (ACUS), where he is a Public Member. With the Stanford RegLab, his work has developed demonstration projects of AI and data science in partnership with a range of government agencies, including the Internal Revenue Service, the Environmental Protection Agency, the Department of Labor, and the Santa Clara County Public Health Department.

Before joining Stanford Law, Ho clerked for Judge Stephen F. Williams on the U.S. Court of Appeals, District of Columbia Circuit. He received his J.D. from Yale Law School and his Ph.D. in political science from Harvard University. 

About Stanford HAI

The mission of Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI) is to advance AI research, education, policy and practice to improve the human condition. Led by faculty from multiple departments across Stanford, research focuses on developing AI technologies inspired by human intelligence; studying, forecasting and guiding the human and societal impact of AI; and designing and creating AI applications that augment human capabilities. Through the education work of the institute, students and leaders at all stages gain a range of AI fundamentals and perspectives. At the same time, the policy work of HAI fosters national and international discussions that lead to direct legislative impact.

About Stanford Law School

Stanford Law School is one of the nation’s leading institutions for legal scholarship and education. Its alumni are among the most influential decision makers in law, politics, business, and high technology. Faculty members argue before the Supreme Court, testify before Congress, produce outstanding legal scholarship and empirical analysis, and contribute regularly to the nation’s press as legal and policy experts. Stanford Law School has established a model for legal education that provides rigorous interdisciplinary training, hands-on experience, global perspective, and focus on public service, spearheading a movement for change.

Share
Link copied to clipboard!
Contributor(s)
Stanford Law School staff
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 News

The Complexities of Governing Mental Health AI
Caroline Yee, Caroline Meinhardt, Michelle Mello, Jane Paik Kim
Jul 24, 2026
News
digital face mental health illustration

Policymakers, academics, healthcare providers, AI developers, and patient advocates convened by Stanford HAI identify critical gaps in how we regulate AI tools used for therapy and emotional support.

News
digital face mental health illustration

The Complexities of Governing Mental Health AI

Caroline Yee, Caroline Meinhardt, Michelle Mello, Jane Paik Kim
HealthcarePrivacy, Safety, SecurityGenerative AIJul 24

Policymakers, academics, healthcare providers, AI developers, and patient advocates convened by Stanford HAI identify critical gaps in how we regulate AI tools used for therapy and emotional support.

How AI Is Helping States Cut Through Decades of Red Tape
RegLab staff
Jul 23, 2026
News

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.

News

How AI Is Helping States Cut Through Decades of Red Tape

RegLab staff
Government, Public AdministrationRegulation, Policy, GovernanceJul 23

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.

Legal AI’s Legibility Problem
Andrew Myers
Jul 20, 2026
News
legal ai benchmark courthouse with binary column

Increasing reliance on language models for legal tasks have led to calls for more information about the likelihood and severity of potential errors. Realizing useful and robust transparency requires an institutional perspective, say the editors of a new special section in PNAS.

News
legal ai benchmark courthouse with binary column

Legal AI’s Legibility Problem

Andrew Myers
Law Enforcement and JusticeJul 20

Increasing reliance on language models for legal tasks have led to calls for more information about the likelihood and severity of potential errors. Realizing useful and robust transparency requires an institutional perspective, say the editors of a new special section in PNAS.