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Sign Up For Latest News How AI Is Accelerating Scientific Discovery New AI tools generate hypotheses, design experiments, and find patterns in data—transforming how scientists make discoveries across every field. Read More news How AI Is Accelerating Scientific Discovery Nikki Goth Itoi Sciences (Social, Health, Biological, Physical)Jul 08 New AI tools generate hypotheses, design experiments, and find patterns in data—transforming how scientists make discoveries across every field. Explore all the latest from HAI Why Governing World Models Is AI's Next Big Policy Challenge Shana Lynch Aug 04 News As artificial intelligence moves beyond language into the physical world through "world models," Stanford researchers warn that policymakers face an even steeper governance challenge than with large language models—and the window to get ahead of the technology is closing fast. The Complexities of Governing Mental Health AI Caroline Yee, Caroline Meinhardt, Michelle Mello, Jane Paik Kim Jul 24 News Policymakers, academics, healthcare providers, AI developers, and patient advocates convened by Stanford HAI identify critical gaps in how we regulate AI tools used for therapy and emotional support. How AI Is Helping States Cut Through Decades of Red Tape RegLab staff Jul 23 News Stanford researchers scanned 500 million words of state law to reveal the stunning growth of reporting requirements, and are now giving governments a tool to clean them up. Legal AI’s Legibility Problem Andrew Myers Jul 20 News Increasing reliance on language models for legal tasks have led to calls for more information about the likelihood and severity of potential errors. Realizing useful and robust transparency requires an institutional perspective, say the editors of a new special section in PNAS. The AI Sovereignty Paradox: Should Countries Buy, Build, or Lease to Maintain Strategic Control of Their AI? Shana Lynch Jul 14 News As nations invest billions to reduce reliance on foreign AI providers, a new Stanford HAI report surveys commercial sovereignty solutions and assesses the extent to which they meaningfully reduce dependencies on U.S. tech giants. Stanford Study Exposes Major Flaw in AI Mental Health Safety Testing Andrew Myers Jul 13 News With increased use of chatbots in mental health contexts, AI developers now rely on human experts to evaluate AI’s responses for “safety” – but experts rarely agree on what’s safe. See All News HAI Mentioned in the News Huberman Lab Media Mention Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li Aug 10 New York Times Media Mention Fax And Telegram? New York’s Archaic Requirements Get An A.I. Overhaul Jul 08 San Francisco Examiner Media Mention State Policymakers Divided Over How To Address AI Job-Loss Fears May 30 See All Media Mentions News Companies That Buy and Sell Your Data Are Not Following California’s Strict Privacy Laws Nikki Goth Itoi Privacy, Safety, SecurityGovernment, Public AdministrationAug 11 A new Stanford study shows data brokers are making it difficult for consumers to submit privacy requests and failing to report how many privacy requests they receive. News New Stanford Grants Tackle AI's Impact on Global Security and Geopolitics Nikki Goth Itoi DemocracyInternational Affairs, International Security, International DevelopmentRegulation, Policy, GovernanceAug 10 Stanford HAI and the Hoover Institution’s Technology Policy Accelerator back projects examining AI's role in detecting nuclear proliferation, U.S.-China competition, and political influence. News AI Companions May Worsen Loneliness for Vulnerable Users, Stanford Study Finds Alexander Gelfand HealthcareGenerative AIAug 04 Stanford research finds that users with limited social networks who seek emotional support from AI companions experience lower well-being. News Open-Weight Models Aren’t Enough. We Need Truly Open Source AI Models for Science and Society. Shana Lynch Privacy, Safety, SecurityInternational Affairs, International Security, International DevelopmentRegulation, Policy, GovernanceAug 04 As Chinese AI closes the capability gap, Washington and Silicon Valley debate open-weight models. Stanford HAI's James Landay says it's the right conversation framed the wrong way.