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

Response to the Department of Education’s Request for Information on AI in Education | Stanford HAI
policyResponse to Request

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

Date
August 20, 2025
Topics
Education, Skills
Regulation, Policy, Governance
Read Paper
abstract

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

In collaboration with

Executive Summary

In this response to a request for information issued by the Department of Education regarding their proposed priorities and definitions for AI in education, scholars from Stanford HAI and the Stanford Accelerator for Learning urge policymakers to drive innovation, reflect the realities of state and local systems, and anchor policy in proven research. The recommendations aim to support the Department’s efforts to create conditions that enable schools, districts, and states to adopt AI in ways that improve outcomes and align with local priorities. These include:

  1. Advance a research-practice ecosystem for effective use of AI in education.

  2. Develop AI tools grounded in the learning sciences and built for education.

  3. Broaden the vision for AI in education beyond individualized remediation. 

  4. Guide responsible AI innovation and adoption in education.

Read Paper
Share
Link copied to clipboard!
Authors
  • Victor R. Lee
    Victor R. Lee
  • Vanessa Parli
    Vanessa Parli
  • Isabelle Hau
    Isabelle Hau
  • headshot
    Patrick Hynes
  • Daniel Zhang
    Daniel Zhang

Related Publications

Designing Loyalty: AI Agents and Conflicts of Interest
Ella Genasci Smith, Victor Y. Wu, Jennifer King
Quick ReadAug 25, 2026
Issue Brief

This brief examines the conflict-of-interest risks posed by AI agents and calls for imposing a duty of loyalty on developers and deployers.

Issue Brief

Designing Loyalty: AI Agents and Conflicts of Interest

Ella Genasci Smith, Victor Y. Wu, Jennifer King
Privacy, Safety, SecurityRegulation, Policy, GovernanceIndustry, InnovationQuick ReadAug 25

This brief examines the conflict-of-interest risks posed by AI agents and calls for imposing a duty of loyalty on developers and deployers.

Regulating Data Brokers in the Age of AI: A California Case Study
Anna-Maria Gueorguieva, Jennifer King, Apoorva Panidapu, Daniel E. Ho
Quick ReadAug 11, 2026
Policy Brief

This brief assesses data broker compliance with California privacy laws and calls for more stringent consumer protections.

Policy Brief

Regulating Data Brokers in the Age of AI: A California Case Study

Anna-Maria Gueorguieva, Jennifer King, Apoorva Panidapu, Daniel E. Ho
Privacy, Safety, SecurityRegulation, Policy, GovernanceQuick ReadAug 11

This brief assesses data broker compliance with California privacy laws and calls for more stringent consumer protections.

The World Model and Spatial Intelligence Era: Governing AI Beyond Language
Daniel Zhang, Russell Wald, Ehsan Adeli, Elena Cryst, Daniel E. Ho, Caroline Meinhardt, Jiajun Wu, Amy Zegart, Fei-Fei Li
Quick ReadJul 27, 2026
Issue Brief

This brief highlights the emergence of world models and outlines a first-of-its-kind governance and policy agenda for the technology.

Issue Brief

The World Model and Spatial Intelligence Era: Governing AI Beyond Language

Daniel Zhang, Russell Wald, Ehsan Adeli, Elena Cryst, Daniel E. Ho, Caroline Meinhardt, Jiajun Wu, Amy Zegart, Fei-Fei Li
Foundation ModelsRegulation, Policy, GovernanceIndustry, InnovationSpatial IntelligenceQuick ReadJul 27

This brief highlights the emergence of world models and outlines a first-of-its-kind governance and policy agenda for the technology.

Operationalizing Real-Time Monitoring of Clinical AI
Zhongnan Fang, Lina Cheuy, Hye Sun Na, Akshay Chaudhari, David B. Larson
Quick ReadMay 14, 2026
Policy Brief

This brief demonstrates how real-time monitoring can address critical gaps in the oversight of radiological AI tools.

Policy Brief

Operationalizing Real-Time Monitoring of Clinical AI

Zhongnan Fang, Lina Cheuy, Hye Sun Na, Akshay Chaudhari, David B. Larson
HealthcareRegulation, Policy, GovernanceQuick ReadMay 14

This brief demonstrates how real-time monitoring can address critical gaps in the oversight of radiological AI tools.