Back
Research by Stanford's Human-Centered AI Institute
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Stanford HAI
Stanford HAI's policy hub is a prominent institutional source for AI governance research; useful as a reference for tracking academic-to-policy translation efforts and concrete governance proposals from a leading AI research institution.
Metadata
Importance: 55/100homepage
Summary
Stanford's Human-Centered AI Institute (HAI) produces policy-oriented AI governance research, white papers, and briefs spanning health, international affairs, language inclusion, and scientific discovery. The institute convenes policymakers and academics globally, bridging AI research and regulatory implementation. It serves as a central repository for Stanford's AI policy output.
Key Points
- •Publishes white papers and policy briefs on AI governance across domains including health insurance, AI sovereignty, and language digitization.
- •Engages directly with government officials through programs like Congressional Boot Camps on AI, connecting researchers to policymakers.
- •Addresses AI sovereignty definitional challenges that hinder international policy progress.
- •Proposes governance mechanisms for AI use in high-stakes domains like health insurance utilization review.
- •Advocates for 'team science' models in AI-enabled scientific discovery in response to federal RFIs.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| International AI Coordination Game Model | Analysis | 59.0 |
Cached Content Preview
HTTP 200Fetched Mar 15, 202610 KB
Policy | Stanford HAI Skip to content
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
Policy
HAI produces critical scholarship on AI governance and convenes national and global AI discussions. We engage with leaders and policymakers worldwide to ensure AI is designed to augment human capabilities and benefit society.
Recently Published in Policy Publications
See all Publications How Can AI Support Language Digitization and Digital Inclusion?
Juan N. Pava, Thomas S. Mullaney, Caroline Meinhardt, Audrey Gao, Diyi Yang Deep Dive Feb 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.
How Can AI Support Language Digitization and Digital Inclusion?
Juan N. Pava, Thomas S. Mullaney, Caroline Meinhardt, Audrey Gao, Diyi Yang Deep Dive Feb 26, 2026 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.
Ethics, Equity, Inclusion International Affairs, International Security, International Development Natural Language Processing White Paper AI Sovereignty’s Definitional Dilemma
Juan N. Pava, Caroline Meinhardt, Elena Cryst, James Landay Feb 17, 2026 News Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.
AI Sovereignty’s Definitional Dilemma
Juan N. Pava, Caroline Meinhardt, Elena Cryst, James Landay Feb 17, 2026 Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.
Government, Public Administration Regulation, Policy, Governance International Affairs, International Security, International Development News Toward Responsible AI in Health Insurance Decision-Making
Michelle Mello, Artem Trotsyuk, Abdoul Jalil Djiberou Mahamadou, Danton Char Quick Read Feb 10, 2026 Policy Brief This brief proposes governance mechanisms for the growing use of AI in health insurance utilization review.
Toward Responsible AI in Health Insurance Decision-Making
Michelle Mello, Artem Trotsyuk, Abdoul Jalil Djiberou Mahamadou, Danton Char Quick Read Feb 10, 2026 This brief proposes governance mechanisms for the growing use of AI in health insurance utilization review.
Healthcare Regulation, Policy, Governance Policy Brief Response to OSTP's Request for Information on Accelerating the American Scientific Enterprise
Rishi Bommasani, John Etchemendy, Surya Ganguli, Daniel E. Ho, Guido Imbens,
... (truncated, 10 KB total)Resource ID:
1b76c90a236aea24 | Stable ID: NzgxM2QyMz