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
  • 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

Enhancing International Cooperation in AI Research: The Case for a Multilateral AI Research Institute | Stanford HAI
policyWhite Paper

Enhancing International Cooperation in AI Research: The Case for a Multilateral AI Research Institute

Date
May 01, 2022
Topics
International Affairs, International Security, International Development
Read Paper
abstract

This white paper proposes a Multilateral AI Research Institute (MAIRI) that would provide a venue for force-multiplying AI research and development collaboration among like-minded countries.

Executive Summary

Developing responsible, human-centered artificial intelligence (AI) is a complex and resource-intensive task. As governments around the world race to meet the opportunities and challenges of developing AI, there remains an absence of deep, technical international cooperation that allows like-minded countries to leverage one another’s resources and competitive advantages to facilitate cutting-edge AI research in a manner that upholds and promotes democratic values. Establishing a Multilateral AI Research Institute (MAIRI) would provide such a venue for force-multiplying AI research and development collaboration. It would also reinforce the United States’ leadership as an international hub for basic and applied AI research, the development of AI governance models, and the fostering of AI norms that align with human-centric and democratic values.

In its final report published in March 2021, the National Security Commission on Artificial Intelligence (NSCAI) recommended that the United States work closely with key allies and partners to establish a MAIRI and called for congressional authorization and funding to allow the National Science Foundation (NSF) to lead the effort. Built upon these recommendations, this white paper outlines a blueprint for an AI research institute that can champion human-centered approaches to conducting AI research, promote multi-stakeholder international R&D cooperation to unleash innovation and economic prosperity, and cultivate AI talent. MAIRI can demonstrate to the world that AI-enabled technologies can benefit humanity, strengthen democracy, and support inclusive economic growth.

We recommend:

  • MAIRI should be established in the United States with a physical presence located in a recognized academic institution, potentially to include partnerships with satellite centers, such as NSF National AI Research Institutes. Partnering with an academic institution can expedite the establishment of MAIRI by leveraging existing administrative and research infrastructure and multidisciplinary research approaches while ensuring academic independence and integrity.

  • MAIRI should operate an on-site laboratory that conducts cutting-edge multidisciplinary AI research on basic and applied R&D as well as research on AI governance. It should also facilitate a series of research programs—such as conferences, seminars, workshops, residence programs, and fellowships.

  • MAIRI should be created as a cooperative agreement-based research institute, with the NSF as the primary anchor in coordination with the Department of State and other federal entities. In the long term, the U.S. government could explore adopting a mature and established MAIRI with developed functions, goals, and agendas as an FFRDC. 

  • MAIRI should be jointly established, funded, and governed by the United States with like-minded allies and partners. Member governments will jointly fund MAIRI as well as negotiate and commit to a founding agreement that details MAIRI’s governance structure, values and guideposts, research security and integrity principles, and research agenda

Read Paper
Share
Link copied to clipboard!
Authors
  • Daniel Zhang
    Daniel Zhang
  • Christie M. Lawrence
    Christie M. Lawrence
  • Michael Sellitto
    Michael Sellitto
  • Russell Wald headshot
    Russell Wald
  • Marietje Schaake
    Marietje Schaake
  • Dan Ho headshot
    Daniel E. Ho
  • Russ Altman
    Russ Altman
  • Andrew Grotto
    Andrew Grotto
Related
  • Warning Signs That AI Foundational Research And AI Human Talent Could Be Slipping Through Academia’s Fingers
    Forbes
    Jan 17
    media mention

    HAI Executive Director Russell Wald discusses the importance of academia's role in public sector AI. 

  • HAI Executive Director Calls For Reform In Academia To Stay Competitive With Private Companies
    The Stanford Daily
    Jan 20
    media mention

    HAI Executive Director Russell Wald explains why academia needs reform in order to stay in the “AI game."

Related Publications

How Can AI Support Language Digitization and Digital Inclusion?
Juan Pava, Thomas S. Mullaney, Caroline Meinhardt, Audrey Gao, Diyi Yang
Deep DiveFeb 26, 2026
White Paper

This white paper analyzes the varying ways AI tools can advance language digitization work, and provides recommendations for responsibly realizing the potential of AI in supporting the digital inclusion of digitally disadvantaged languages.

White Paper

How Can AI Support Language Digitization and Digital Inclusion?

Juan Pava, Thomas S. Mullaney, Caroline Meinhardt, Audrey Gao, Diyi Yang
Ethics, Equity, InclusionInternational Affairs, International Security, International DevelopmentNatural Language ProcessingDeep DiveFeb 26

This white paper analyzes the varying ways AI tools can advance language digitization work, and provides recommendations for responsibly realizing the potential of AI in supporting the digital inclusion of digitally disadvantaged languages.

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, 2025
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.

Issue Brief

Beyond DeepSeek: China's Diverse Open-Weight AI Ecosystem and Its Policy Implications

Caroline Meinhardt, Sabina Nong, Graham Webster, Tatsunori Hashimoto, Christopher Manning
Foundation ModelsInternational Affairs, International Security, International DevelopmentDeep DiveDec 16

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.

Moving Beyond the Term "Global South" in AI Ethics and Policy
Evani Radiya-Dixit, Angèle Christin
Quick ReadNov 19, 2025
Issue Brief

This brief examines the limitations of the term "Global South" in AI ethics and policy, and highlights the importance of grounding such work in specific regions and power structures.

Issue Brief

Moving Beyond the Term "Global South" in AI Ethics and Policy

Evani Radiya-Dixit, Angèle Christin
Ethics, Equity, InclusionInternational Affairs, International Security, International DevelopmentQuick ReadNov 19

This brief examines the limitations of the term "Global South" in AI ethics and policy, and highlights the importance of grounding such work in specific regions and power structures.

Yejin Choi’s Briefing to the United Nations Security Council
Yejin Choi
Quick ReadSep 24, 2025
Testimony

In this address, presented to the United Nations Security Council meeting on "Maintenance of International Peace and Security," Yejin Choi calls on the global scientific and policy communities to expand the AI frontier for all by pursuing intelligence that is not only powerful, but also accessible, robust, and efficient. She stresses the need to rethink our dependence on massive-scale data and computing resources from the outset, and design methods that do more with less — by building AI that is smaller and serves all communities.

Testimony

Yejin Choi’s Briefing to the United Nations Security Council

Yejin Choi
International Affairs, International Security, International DevelopmentQuick ReadSep 24

In this address, presented to the United Nations Security Council meeting on "Maintenance of International Peace and Security," Yejin Choi calls on the global scientific and policy communities to expand the AI frontier for all by pursuing intelligence that is not only powerful, but also accessible, robust, and efficient. She stresses the need to rethink our dependence on massive-scale data and computing resources from the outset, and design methods that do more with less — by building AI that is smaller and serves all communities.