Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
2024 AI Index Report D.C. Launch | 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
    • Research Programs
    • Grants
    • Marlowe (opens in new tab)
    • 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
Your browser does not support the video tag.
event

2024 AI Index Report D.C. Launch

Status
Past
Date
Friday, April 19, 2024 9:00 AM - 10:30 AM PST/PDT
Location
Hoover D.C. Offices (1399 New York Avenue, NW, Washington, D.C.)

The Hoover Institution and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) launched the 2024 AI Index Report, that was released on April 15, 2024.

Share
Link copied to clipboard!
Event Contact
HAI Events Team
stanford-hai@stanford.edu

Related Events

Neil Thompson: Forecasting AI’s Impact on Human Expertise and the Future of Work
Oct 12, 202612:00 PM - 1:00 PM
October
12
2026

AI is advancing rapidly at the cognitive tasks that make up knowledge work, raising fears among firms, policymakers, and, not least, workers of a “China shock” for white-collar jobs. Neil Thompson will present new research on whether those fears are warranted.

Event

Neil Thompson: Forecasting AI’s Impact on Human Expertise and the Future of Work

Oct 12, 202612:00 PM - 1:00 PM

AI is advancing rapidly at the cognitive tasks that make up knowledge work, raising fears among firms, policymakers, and, not least, workers of a “China shock” for white-collar jobs. Neil Thompson will present new research on whether those fears are warranted.

Marlowe | AI + Data for Science with Curtis Langlotz
SeminarOct 14, 2026
October
14
2026

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Event

Marlowe | AI + Data for Science with Curtis Langlotz

Oct 14, 2026

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Serena Wang: From Metric Selection to Metric Discovery in AI Evaluation
SeminarOct 16, 20261:00 PM - 2:15 PM
October
16
2026
Seminar
Your browser does not support the video tag.

Serena Wang: From Metric Selection to Metric Discovery in AI Evaluation

Oct 16, 20261:00 PM - 2:15 PM

The AI Index is an annual report that tracks, collates, distills, and visualizes data relating to AI, recognized globally as one of the most credible and authoritative sources for data and insights on artificial intelligence. The discussion highlights the findings from the 2024 version of the report and relevant findings for policymakers.

The 2024 Index is the most comprehensive report to date, launching at a critical time when AI's impact on society is more pronounced than ever. The report has broadened its scope to more extensively cover key trends such as AI’s technical progress, public perceptions, and the geopolitical dynamics. Featuring an unprecedented amount of original data, the 2024 edition introduces new estimates on AI training costs, detailed analyses of the responsible AI landscape, and an entirely new chapter dedicated to AI's transformative impact on science and medicine. 

This panel discussion was in person at the Hoover DC office.

Speakers and Moderators
Erik Brynjolfsson
Jerry Yang and Akiko Yamazaki Professor | Associate Director and Senior Fellow, Stanford HAI | Senior Fellow, SIEPR | Professor, by courtesy, of Economics; of Operations, Information & Technology; and of Economics at the Stanford Graduate School of Business
Russell Wald headshot
Russell Wald
Executive Director, Stanford HAI
Vanessa Parli
Managing Director of Programs and External Engagement at Stanford HAI
Rohini Kosoglu
Policy Fellow, Stanford HAI