Unlocking Public Sector AI Innovation: Next Steps for the National AI Research Resource | Stanford HAI
Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
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
Denning Co-Director, Stanford HAI | Stanford Provost Emeritus | Patrick Suppes Family Professor in the School of Humanities and Sciences, Stanford University
Jennifer King
Jennifer King
Privacy and Data Policy Fellow, Stanford HAI
fei fei li headshot
Fei-Fei Li
Denning Co-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
    Denning Co-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

AI+Science: Accelerating Discovery
ConferenceMay 05, 20268:30 AM - 6:45 PM
May
05
2026

AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.

Conference

AI+Science: Accelerating Discovery

May 05, 20268:30 AM - 6:45 PM

AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.

Kristina McElheran | The Rise of Industrial AI in America: Microfoundations of the Productivity J-curve(s)
May 11, 202612:00 PM - 1:00 PM
May
11
2026

We examine the prevalence and productivity dynamics of artificial intelligence (AI) in American manufacturing. Working with the Census Bureau to collect detailed large-scale data for 2017 and 2021, we focus on AI-related technologies with industrial applications.

Event

Kristina McElheran | The Rise of Industrial AI in America: Microfoundations of the Productivity J-curve(s)

May 11, 202612:00 PM - 1:00 PM

We examine the prevalence and productivity dynamics of artificial intelligence (AI) in American manufacturing. Working with the Census Bureau to collect detailed large-scale data for 2017 and 2021, we focus on AI-related technologies with industrial applications.

Wolfgang Lehrach | Code World Models for General Game Playing
SeminarMay 13, 202612:00 PM - 1:15 PM
May
13
2026

While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.

Seminar

Wolfgang Lehrach | Code World Models for General Game Playing

May 13, 202612:00 PM - 1:15 PM

While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.