Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Caroline Meinhardt | 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
  • 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
    • 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
peopleStaff

Caroline Meinhardt

Policy Research Manager

headshot
External Bio
Latest Work
Beyond DeepSeek: China's Diverse Open-Weight AI Ecosystem and Its Policy Implications
Caroline Meinhardt, Sabina Nong, Graham Webster, Tatsunori Hashimoto, Christopher Manning
Deep DiveDec 16
issue brief

Almost one year after the “DeepSeek moment,” this brief analyzes China’s diverse open-model ecosystem and examines the policy implications of their widespread global diffusion.

Vital Set Of Policy Recommendations For Stridently Dealing With AI That Provides Mental Health Advice
Forbes
Dec 11
media mention

Forbes Columnist Lance Elliot describes Stanford HAI's recent response to the FDA’s RFC, which focused on policy recommendations for mental health and AI.

Response to FDA's Request for Comment on AI-Enabled Medical Devices
Desmond C. Ong, Jared Moore, Nicole Martinez-Martin, Caroline Meinhardt, Eric Lin, William Agnew
Quick ReadDec 02
response to request

Stanford scholars respond to a federal RFC on evaluating AI-enabled medical devices, recommending policy interventions to help mitigate the harms of AI-powered chatbots used as therapists.

Share
Link copied to clipboard!

All Related

Inside Trump’s Ambitious AI Action Plan
Caroline Meinhardt, Daniel Zhang, Jennifer King, Andy Haupt, Elena Cryst
Jul 24, 2025
news
Donald Trump

The White House favors market-driven growth and light governance, signaling a departure from the previous administration.

Inside Trump’s Ambitious AI Action Plan

Caroline Meinhardt, Daniel Zhang, Jennifer King, Andy Haupt, Elena Cryst
Jul 24, 2025

The White House favors market-driven growth and light governance, signaling a departure from the previous administration.

Regulation, Policy, Governance
Donald Trump
news
Mind the (Language) Gap: Mapping the Challenges of LLM Development in Low-Resource Language Contexts
Juan Pava, Caroline Meinhardt, Haifa Badi Uz Zaman, Toni Friedman, Sang T. Truong, Daniel Zhang, Elena Cryst, Vukosi Marivate, Sanmi Koyejo
Deep DiveApr 22, 2025
whitepaper

This white paper maps the LLM development landscape for low-resource languages, highlighting challenges, trade-offs, and strategies to increase investment; prioritize cross-disciplinary, community-driven development; and ensure fair data ownership.

Mind the (Language) Gap: Mapping the Challenges of LLM Development in Low-Resource Language Contexts

Juan Pava, Caroline Meinhardt, Haifa Badi Uz Zaman, Toni Friedman, Sang T. Truong, Daniel Zhang, Elena Cryst, Vukosi Marivate, Sanmi Koyejo
Deep DiveApr 22, 2025

This white paper maps the LLM development landscape for low-resource languages, highlighting challenges, trade-offs, and strategies to increase investment; prioritize cross-disciplinary, community-driven development; and ensure fair data ownership.

International Affairs, International Security, International Development
Natural Language Processing
Ethics, Equity, Inclusion
whitepaper
Response to OSTP’s Request for Information on the Development of an AI Action Plan
Caroline Meinhardt, Daniel Zhang, Rishi Bommasani, Jennifer King, Russell Wald, Percy Liang, Daniel E. Ho
Mar 17, 2025
response to request

Stanford scholars respond to a federal RFI on the development of an AI Action Plan, urging policymakers to promote open and scientific innovation, craft evidence-based AI policy, and empower government leaders.

Response to OSTP’s Request for Information on the Development of an AI Action Plan

Caroline Meinhardt, Daniel Zhang, Rishi Bommasani, Jennifer King, Russell Wald, Percy Liang, Daniel E. Ho
Mar 17, 2025

Stanford scholars respond to a federal RFI on the development of an AI Action Plan, urging policymakers to promote open and scientific innovation, craft evidence-based AI policy, and empower government leaders.

Regulation, Policy, Governance
response to request
Assessing the Implementation of Federal AI Leadership and Compliance Mandates
Jennifer Wang, Mirac Suzgun, Caroline Meinhardt, Daniel Zhang, Kazia Nowacki, Daniel E. Ho
Deep DiveJan 17, 2025
whitepaper

This white paper assesses federal efforts to advance leadership on AI innovation and governance through recent executive actions and emphasizes the need for senior-level leadership to achieve a whole-of-government approach.

Assessing the Implementation of Federal AI Leadership and Compliance Mandates

Jennifer Wang, Mirac Suzgun, Caroline Meinhardt, Daniel Zhang, Kazia Nowacki, Daniel E. Ho
Deep DiveJan 17, 2025

This white paper assesses federal efforts to advance leadership on AI innovation and governance through recent executive actions and emphasizes the need for senior-level leadership to achieve a whole-of-government approach.

Government, Public Administration
Regulation, Policy, Governance
whitepaper
Expanding Academia’s Role in Public Sector AI
Kevin Klyman, Aaron Bao, Caroline Meinhardt, Daniel Zhang, Elena Cryst, Russell Wald
Quick ReadDec 04, 2024
issue brief
Expanding Academias role in public sector ai

This brief analyzes the disparity between academia and industry in frontier AI research and presents policy recommendations for ensuring a stronger role for academia in public sector AI.

Expanding Academia’s Role in Public Sector AI

Kevin Klyman, Aaron Bao, Caroline Meinhardt, Daniel Zhang, Elena Cryst, Russell Wald
Quick ReadDec 04, 2024

This brief analyzes the disparity between academia and industry in frontier AI research and presents policy recommendations for ensuring a stronger role for academia in public sector AI.

Government, Public Administration
Expanding Academias role in public sector ai
issue brief
Pathways to Governing AI Technologies in Healthcare
Caroline Meinhardt, Alaa Youssef, Rory Thompson, Daniel Zhang, Rohini Kosoglu, Kavita Patel
Jul 15, 2024
news

Leading policymakers, academics, healthcare providers, AI developers, and patient advocates discuss the path forward for healthcare AI policy at closed-door workshop.

Pathways to Governing AI Technologies in Healthcare

Caroline Meinhardt, Alaa Youssef, Rory Thompson, Daniel Zhang, Rohini Kosoglu, Kavita Patel
Jul 15, 2024

Leading policymakers, academics, healthcare providers, AI developers, and patient advocates discuss the path forward for healthcare AI policy at closed-door workshop.

news
Response to USAID's Request for Information on AI in Global Development Playbook
Caroline Meinhardt, Toni Friedman, Haifa Badi Uz Zaman, Daniel Zhang, Rodrigo Balbontín, Juan Pava, Vyoma Raman, Kevin Klyman, Marietje Schaake, Jef Caers, Francis Fukuyama
Mar 01, 2024
response to request

Scholars respond to a federal RFI on AI in global development, calling for an approach that is grounded in local perspectives and tailored to Global Majority country circumstances.

Response to USAID's Request for Information on AI in Global Development Playbook

Caroline Meinhardt, Toni Friedman, Haifa Badi Uz Zaman, Daniel Zhang, Rodrigo Balbontín, Juan Pava, Vyoma Raman, Kevin Klyman, Marietje Schaake, Jef Caers, Francis Fukuyama
Mar 01, 2024

Scholars respond to a federal RFI on AI in global development, calling for an approach that is grounded in local perspectives and tailored to Global Majority country circumstances.

International Affairs, International Security, International Development
response to request
Exploring the Impact of AI on Black Americans: Considerations for the Congressional Black Caucus’s Policy Initiatives
Nina Dewi Toft Djanegara, Daniel Zhang, Haifa Badi Uz Zaman, Caroline Meinhardt, Gelyn Watkins, Ezinne Nwankwo, Russell Wald, Rohini Kosoglu, Sanmi Koyejo, Michele Elam
Deep DiveMar 01, 2024
whitepaper

This white paper presents considerations for the Congressional Black Caucus’s policy initiatives by highlighting where AI holds the potential to deepen racial inequalities and where it can benefit Black communities.

Exploring the Impact of AI on Black Americans: Considerations for the Congressional Black Caucus’s Policy Initiatives

Nina Dewi Toft Djanegara, Daniel Zhang, Haifa Badi Uz Zaman, Caroline Meinhardt, Gelyn Watkins, Ezinne Nwankwo, Russell Wald, Rohini Kosoglu, Sanmi Koyejo, Michele Elam
Deep DiveMar 01, 2024

This white paper presents considerations for the Congressional Black Caucus’s policy initiatives by highlighting where AI holds the potential to deepen racial inequalities and where it can benefit Black communities.

Ethics, Equity, Inclusion
Regulation, Policy, Governance
whitepaper
Rethinking Privacy in the AI Era: Policy Provocations for a Data-Centric World
Jennifer King, Caroline Meinhardt
Deep DiveFeb 22, 2024
whitepaper

This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.

Rethinking Privacy in the AI Era: Policy Provocations for a Data-Centric World

Jennifer King, Caroline Meinhardt
Deep DiveFeb 22, 2024

This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.

Privacy, Safety, Security
Regulation, Policy, Governance
whitepaper
Transparency of AI EO Implementation: An Assessment 90 Days In
Caroline Meinhardt, Kevin Klyman, Hamzah Daud, Christie M. Lawrence, Rohini Kosoglu, Daniel Zhang, Daniel E. Ho
Feb 21, 2024
news

The U.S. government has made swift progress and broadened transparency, but that momentum needs to be maintained for the next looming deadlines.

Transparency of AI EO Implementation: An Assessment 90 Days In

Caroline Meinhardt, Kevin Klyman, Hamzah Daud, Christie M. Lawrence, Rohini Kosoglu, Daniel Zhang, Daniel E. Ho
Feb 21, 2024

The U.S. government has made swift progress and broadened transparency, but that momentum needs to be maintained for the next looming deadlines.

news
By the Numbers: Tracking The AI Executive Order
Caroline Meinhardt, Christie M. Lawrence, Lindsey A. Gailmard, Daniel Zhang, Rishi Bommasani, Rohini Kosoglu, Peter Henderson, Russell Wald, Daniel E. Ho
Nov 16, 2023
news

New Stanford tracker analyzes the 150 requirements of the White House Executive Order on AI and offers new insights into government priorities.

By the Numbers: Tracking The AI Executive Order

Caroline Meinhardt, Christie M. Lawrence, Lindsey A. Gailmard, Daniel Zhang, Rishi Bommasani, Rohini Kosoglu, Peter Henderson, Russell Wald, Daniel E. Ho
Nov 16, 2023

New Stanford tracker analyzes the 150 requirements of the White House Executive Order on AI and offers new insights into government priorities.

news
Decoding the White House AI Executive Order’s Achievements
Rishi Bommasani, Christie M. Lawrence, Lindsey A. Gailmard, Caroline Meinhardt, Daniel Zhang, Peter Henderson, Russell Wald, Daniel E. Ho
Nov 02, 2023
news

America is ready again to lead on AI—and it won’t just be American companies shaping the AI landscape if the White House has anything to say about it.

Decoding the White House AI Executive Order’s Achievements

Rishi Bommasani, Christie M. Lawrence, Lindsey A. Gailmard, Caroline Meinhardt, Daniel Zhang, Peter Henderson, Russell Wald, Daniel E. Ho
Nov 02, 2023

America is ready again to lead on AI—and it won’t just be American companies shaping the AI landscape if the White House has anything to say about it.

news
1
2