Stanford HAI
@StanfordHAI
@Stanford Institute for Human-Centered AI. Advancing AI and data science research, education, policy, and practice to improve the human condition.
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Chain-of-thought transformed AI reasoning, but it is limited to words.
What's the physical-world analogue?
Introducing Ψ-0.6, one model that reasons in *streams of thought*: words, depth, motion, camera pose, and imagined scenes. And it learns when to use which! 🧵
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Scholars from Stanford HAI and @StanfordMed issued a response to the @FDA’s discussion paper and request for feedback. Read their recommendations for the FDA’s approach to regulating generative AI-enabled medical devices here:
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Yesterday, HAI Privacy and Data Policy Fellow Jen King testified before the California State Senate Privacy Committee on AI risk vectors. She spoke about how we should think about risks associated with AI deployments today, including privacy, security, and accountability issues created by agents, as well as how we can encourage transparency and auditability.
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7 years ago: Stanford HAI officially launched. The institute opened in March 2019 with a focus on advancing AI research, education, policy, and practice to improve the human condition, drawing on faculty and students from all seven Stanford schools. #HAIOverTheYears#
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HAI Founding Director @drfeifei talks with historian Stephen Kotkin about curiosity, finding an audacious question in science, and the responsibilities of scientists, for the @HooverInst's Only in America series. Watch:
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Benchmark scores influence which AI models get funded, bought, and regulated. Two new studies from Stanford researchers and collaborators, supported by Stanford HAI, ask whether those tests measure what they claim to. Read more:
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Who shapes AI, and how do you keep people at the center of it? Stanford HAI Denning Director James Landay (@landay) spoke with Imagination in Action about educating lawmakers, working with industry while staying independent, and what the AI Index shows beyond the headlines:
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What does responsible AI regulation look like? In a new report, Stanford HAI Associate Director Rob Reich and UC Berkeley's Deirdre K. Mulligan offer recommendations for updating California's frontier AI transparency law, from redefining "frontier models" to expanding incident reporting:
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In 2018, Stanford experts said driverless cars were 90 percent of the way there. The remaining 10 percent meant handling fog and rain, inconsistent road markings, and safe decision-making. Stanford HAI Faculty Affiliate @drmapavone explains how AI helped close that gap. Via Stanford Report:
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It was wonderful to see so many Stanford HAI faculty and leaders take part in Imagination in Action this month at the Google Bay View campus. We heard so many important conversations and research updates in AI, from scientific discovery and robotics to governance and the future of work.
HAI Leaders and Affiliated Faculty at Imagination in Action: James Landay (@landay), Erik Brynjolfsson (@erikbryn), Rob Reich, Vanessa Parli (@vanessaparli), Marco Pavone (@drmapavone), Diyi Yang (@Diyi_Yang), Surya Ganguli (@SuryaGanguli), Melissa Valentine (@stanfordmav), Arvind Karunakaran, Mehran Sahami (@mehran_sahami).
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Couldn't get a seat at Empirical Methods in the Age of AI? Conference speaker Anastasios Angelopoulos, co-founder and CEO of Arena, is also presenting at a free Stanford HAI Seminar this Friday (10/2) on measuring AI in the real world:
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Have experience managing complex writing projects and a background in biomedical AI? Stanford HAI's AI Index is hiring a project manager to coordinate its chapter on AI in medicine and science. One-year role, hybrid on the Stanford campus. Details:
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It is important for AI to understand our long-term goals and help us *achieve* these goals. Important work from a great PhD student I work with @sapkotashardul_. Supported by @StanfordHAI and @HPI_DE. Check it out!
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Policymakers, governments, and business leaders around the world rely on Stanford HAI’s AI Index for rigorous, objective insights into AI’s technical progress, economic influence, and societal impact. The #AIIndex2026# report is now available in Simplified Chinese:
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Stanford HAI's fall conference returns this October. Confronting Our AI Future: Hope, Fear, and the Choices Ahead will feature a full day of conversations on work, learning, governance, and how we ensure AI expands human potential. Speakers include @drfeifei, @JeffDean, @audreyt, @erikbryn, Alondra Nelson, and @istoica05, with more to be announced.
Register by October 1 for early bird pricing:
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From robot learning to chip design to AI security, Stanford faculty @sanmikoyejo, @chelseabfinn, and @Azaliamirh are shaping where AI goes next. Congratulations to these three on being named to the TIME AI 100!
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AI tools are playing an increasingly large role in mental health care, but the governance frameworks needed to ensure they are safe and effective are lagging behind. A policy workshop, hosted by @StanfordHAI's Healthcare AI Policy Steering Committee in collaboration with @StanfordMed's AI for Mental Health Initiative, identified three critical challenges policymakers need to address:
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AI chatbots are increasingly used as life coaches, counselors, and therapists. Developers rely on mental health experts to test whether responses are safe. New research finds that expert disagreement makes that process unreliable; the scholars propose a path forward:
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⏰ Last chance: Applications for the 2026 Rising Stars in Data Science workshop close August 3 at 11:59pm CT. The two-day workshop at @UChicago brings together data science graduate students and postdocs at a critical point in their academic careers — in collaboration with @Harvard, @HDSIUCSD, and Stanford HAI:
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Generative AI has sparked debates on authorship and creative ownership. Stanford HAI Student Affinity Groups members Christina Ba and Navya Agarwal set out to explore a different angle — what if AI could augment the creative process rather than diminish it?
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