Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Susan Athey's Testimony Before the House Committee on the Budget | 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

Susan Athey's Testimony Before the House Committee on the Budget

Date
September 10, 2020
Topics
Economy, Markets
Education, Skills
Read Paper
abstract

In this testimony to the House Committee on the Budget’s hearing on “Machines, Artificial Intelligence, & the Workforce,” Susan Athey highlights AI’s vast promise and calls for continuous worker reskilling to ensure the technology tackles looming economic and societal challenges.

Read Paper
Share
Link copied to clipboard!
Authors
  • Susan Athey
    Susan Athey

Related Publications

Response to the Department of Education’s Request for Information on AI in Education
Victor R. Lee, Vanessa Parli, Isabelle Hau, Patrick Hynes, Daniel Zhang
Quick ReadAug 20, 2025
Response to Request

Stanford scholars respond to a federal RFI on advancing AI in education, urging policymakers to anchor their approach in proven research.

Response to Request

Response to the Department of Education’s Request for Information on AI in Education

Victor R. Lee, Vanessa Parli, Isabelle Hau, Patrick Hynes, Daniel Zhang
Education, SkillsRegulation, Policy, GovernanceQuick ReadAug 20

Stanford scholars respond to a federal RFI on advancing AI in education, urging policymakers to anchor their approach in proven research.

Addressing AI-Generated Child Sexual Abuse Material: Opportunities for Educational Policy
Riana Pfefferkorn
Quick ReadJul 21, 2025
Policy Brief

This brief explores student misuse of AI-powered “nudify” apps to create child sexual abuse material and highlights gaps in school response and policy.

Policy Brief

Addressing AI-Generated Child Sexual Abuse Material: Opportunities for Educational Policy

Riana Pfefferkorn
Privacy, Safety, SecurityEducation, SkillsQuick ReadJul 21

This brief explores student misuse of AI-powered “nudify” apps to create child sexual abuse material and highlights gaps in school response and policy.

Inspiring Action: Identifying the Social Sector AI Opportunity Gap
Sarah Di Troia, Vanessa Parli, Juan N. Pava, Haifa Badi Uz Zaman, Kelly Fitzsimmons
Deep DiveFeb 08, 2024
Policy Publication
Cover for working paper that reveals the untapped potential for leveraging AI for mission-related impact.

This working paper reveals the untapped potential for leveraging AI for mission-related impact.

Policy Publication
Cover for working paper that reveals the untapped potential for leveraging AI for mission-related impact.

Inspiring Action: Identifying the Social Sector AI Opportunity Gap

Sarah Di Troia, Vanessa Parli, Juan N. Pava, Haifa Badi Uz Zaman, Kelly Fitzsimmons
Education, SkillsEthics, Equity, InclusionDeep DiveFeb 08

This working paper reveals the untapped potential for leveraging AI for mission-related impact.

Advancing a More Productive Tech Economy
Erik Brynjolfsson, Georgios Petropoulos
Feb 01, 2022
Response to Request

Stanford scholars respond to a federal RFI regarding a study to advance a more productive tech economy, highlighting why productivity has not been sufficiently understood or measured, especially from AI.

Response to Request

Advancing a More Productive Tech Economy

Erik Brynjolfsson, Georgios Petropoulos
Workforce, LaborEconomy, MarketsFeb 01

Stanford scholars respond to a federal RFI regarding a study to advance a more productive tech economy, highlighting why productivity has not been sufficiently understood or measured, especially from AI.