Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Unlocking Public Sector AI Innovation: Next Steps for the National AI Research Resource | 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
  • 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

Your browser does not support the video tag.
eventSeminar

Unlocking Public Sector AI Innovation: Next Steps for the National AI Research Resource

Status
Past
Date
Tuesday, October 31, 2023 9:00 AM - 10:00 AM PST/PDT
Location
Gates Computer Science Building, Room 119

On Monday, October 30th 2023, President Biden signed a landmark Executive Order to manage the opportunities and risks of artificial intelligence.

The EO seeks to promote innovation and competition through a pilot of the National AI Research Resource (NAIRR), which can provide access to much-needed compute and datasets for academics, nonprofit researchers, and startups. Earlier this year, Congress had introduced a bi-partisan, bicameral CREATE AI Act, which also supports the establishment of this public AI infrastructure. NAIRR aims to strengthen academic AI innovation driven by societal benefits through catalyzing groundbreaking advancements reminiscent of academic triumphs such as GPS, CRISPR, and the internet.

Watch the recording below to hear Stanford faculty and researchers, Fei-Fei Li, Russ Altman, and Jennifer King, for a discussion on how academia can capitalize on the opportunities NAIRR brings featuring a keynote address by U.S. Representative Anna Eshoo, co-chair of the Congressional AI Caucus, and co-sponsor of the CREATE AI Act.

Speakers
Russ Altman
Russ Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science | Associate Director and Senior Fellow, Stanford HAI | Professor, by courtesy, of Computer Science
Anna Eshoo
U.S. Representative (CA-16), Co-chair Congressional AI Caucus
John Etchemendy
Stanford Provost Emeritus | Patrick Suppes Family Professor in the School of Humanities and Sciences, Stanford University | Senior Fellow, Stanford HAI
Jennifer King
Jennifer King
Privacy and Data Policy Fellow, Stanford HAI
fei fei li headshot
Fei-Fei Li
Founding Director, Stanford HAI | Sequoia Professor of Computer Science, Stanford University

Watch Event Recording

Share
Link copied to clipboard!
Event Contact
HAI Events Team
stanford-hai@stanford.edu
Related
  • Fei-Fei Li
    Founding Director, Stanford HAI | Sequoia Professor of Computer Science, Stanford University
    fei fei li headshot
  • A Plan To Democratize Access To Powerful AI Tools Gets A Last-Ditch Push In Congress
    Semafor
    Nov 22
    media mention

    HAI Executive Director Russell Wald speaks about the importance of passing the CREATE AI Act, born from Stanford HAI's National AI Research Resource. 

Related Events

Info Session: Rising Stars in Data Science Workshop
WorkshopJul 23, 20261:00 PM - 2:00 PM
July
23
2026

This session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.

Event

Info Session: Rising Stars in Data Science Workshop

Jul 23, 20261:00 PM - 2:00 PM

This session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.

Empirical Methods in the Age of AI Conference
ConferenceOct 02, 2026
October
02
2026

Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.

Event

Empirical Methods in the Age of AI Conference

Oct 02, 2026

Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.

Confronting Our AI Future: Hope, Fear, and the Choices Ahead
ConferenceOct 28, 20269:00 AM - 6:00 PM
October
28
2026

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

Conference

Confronting Our AI Future: Hope, Fear, and the Choices Ahead

Oct 28, 20269:00 AM - 6:00 PM

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.