π₯ Missed this year's Hoffman-Yee Symposium? You can now watch all sessions of the research presentations on our YouTube channel. Dive back into the rich and thought-provoking discussions here: www.youtube.com/playlist?lis...
π₯ Missed this year's Hoffman-Yee Symposium? You can now watch all sessions of the research presentations on our YouTube channel. Dive back into the rich and thought-provoking discussions here: www.youtube.com/playlist?lis...
Join us tomorrow for a @stanfordhai.bsky.social seminar with Google's CTO @blaiseaguera.bsky.social. He'll challenge the myth of AI as alien intelligence and reframe it as a social phenomenon born from languageβthe "DNA" of collective human intelligence. hai.stanford.edu/events/blais...
Millions of kids need speech therapy, but there aren't enough clinicians to help them. Can AI fill the gap? New Stanford research shows top language models aren't ready yetβbut fine-tuning could change that. hai.stanford.edu/news/using-a...
What are some of the biggest challenges of new products like AI browsers? HAI Co-Director @jlanday.bsky.social says itβs difficult to anticipate a dominant form of interface, since people will likely want to interact with the technology in multiple ways. www.fastcompany.com/91427104/ope...
HAI Senior Fellow @erikbryn.bsky.social speaks about a new research examining the need for new, objective measurements of labor markets in the modern digital economy via @wsj.com: www.wsj.com/economy/jobs...
How can researchers continue to access public web data in the face of new threats like robots.txt exclusions, legal demands, & bot defenses? Join the Common Crawl Foundation today for a seminar covering their latest insights and ideas for the future of the open web: hai.stanford.edu/events/commo...
A Stanford study reveals that leading AI companies are pulling user conversations for training. Should users of AI chatbots worry about their privacy? hai.stanford.edu/news/be-care...
ICYMI: At a recent seminar, AI pioneers Lucy Suchman and Terry Winograd discussed AI's past and present, exploring the lessons generative frictions offer as we navigate the challenges and possibilities of AI. Watch the recording here: hai.stanford.edu/events/gener...
Ever wonder why using some devices feels effortless while others frustrate us? Join Prof. @bradamyers.bsky.social as he reveals the invisible design decisions behind interaction techniques at our next @stanfordhai.bsky.social seminar: hai.stanford.edu/events/brad-...
πΈ This month, HAI Co-Director @jlanday.bsky.social traveled to Asia to advance critical conversations on human-centered AI. At the 2025 STS Forum and in discussions with Korea's foreign minister, he emphasized the urgent need to design AI systems at the user, community, and society levels.
Can AI generate new DNA and show us how our genomes interact at a molecular level? The results could reveal novel insights in biology and pave the way for personalized medicine. Meet the scholars behind EVO 2 at the Hoffman-Yee Symposium on Oct. 14. hai.stanford.edu/events/hoffm...
What if an AI model could predict your risk and progression of Alzheimerβs or Parkinson's? Scholars are building a world model of the brain that could create better predictions for diagnosis and care. Learn more at the Hoffman-Yee Symposium on Oct. 14: hai.stanford.edu/events/hoffm...
In collaboration with @stanforddata.bsky.social, we kicked off our fall seminar series with HAI faculty affiliate @brianhie.bsky.social. He presented Evo 2, an open-source tool that can predict the form and function of proteins in the DNA of all domains of life. 𧬠hai.stanford.edu/events/brian...
πΈ Early-career workers in AI-exposed roles faced a 13% drop in employment after generative AI adoption, according to research by Bharat Chandar, Ruyu Chen, and @erikbryn.bsky.social presented at today's Digital Economy Lab seminar. Read the paper here: digitaleconomy.stanford.edu/publications...
βGenerative AI models offered by major AI companies are used by tens of millions of people every day, and we should encourage them to make their models as safe as they possibly can,β said HAI Policy Fellow @riana.bsky.social via @techpolicypress.bsky.social: www.techpolicy.press/how-congress...
π£ NEW: How can we validate claims about AI? Many AI companies often base their testing on specific tasks but overstate their overall capabilities. Our latest policy brief presents a three-step validation framework for separating legitimate from unsupported claims. hai.stanford.edu/policy/valid...
βWhen only a few have the resources to build and benefit from AI, we leave the rest of the world waiting at the door,β said
@stanfordhai.bsky.social Senior Fellow @yejinchoinka.bsky.social during her address to the UN Security Council. Read her full speech here: hai.stanford.edu/policy/yejin...
How do educators decide whether to use AI tools or not? Stanford researchers gathered 60+ K-12 math educators nationwide to understand their AI needs and perspectives and to inform better design for ed tech tools.
Here are their findings: hai.stanford.edu/news/how-mat...
AI is revolutionizing drug discovery and opening doors to novel treatments. I spoke with Jim Weatherall about how @AstraZeneca and @Stanford University School of Medicine are collaborating to blend the strengths of industry and academia. Tune in: www.science.org/content/webi...
Many teachers are concerned about AI getting in the way of learning, but a far more dangerous trend is happening: kids using βundressβ apps to create deepfake nudes of their peers. @riana.bsky.social studies the impact of AI-generated child sexual abuse: hai.stanford.edu/news/how-do-...
Can we achieve political neutrality in AI? Our latest brief argues that while true neutrality is not technically possible, there are ways to approximate it. We introduce a framework of 8 techniques for approximating political neutrality in AI models: hai.stanford.edu/policy/towar...
HAI Senior Research Scholar and Policy Fellow Rishi Bommasani is working across disciplines to address complex questions around AI governance. Recently, he authored a Science paper, joining scholars in setting out a vision for evidence-based AI policy. hai.stanford.edu/news/fosteri...
πΈ @stanfordhai.bsky.social experts at today's "The Next Revolution of AI: Impact Summit" urge us to guide AIβs future with reasoned optimism and resilience to benefit society and future generations. The event brings together top minds to discuss AIβs next wave in science, industry & beyond.
In this Stanford news article, @stanfordhai.bsky.social Senior Fellow @suryaganguli.bsky.social argues that universities are essential for understanding how AI works. Here, he outlines three reasons why: news.stanford.edu/stories/2025...
Google DeepMind and @stanfordhai.bsky.social scholars @mavelous-mav.bsky.social and @mbernst.bsky.social invite academic researchers to enter the AI for Organizations Grand Challenge. Help us find the best ideas for shaping the future of collaboration in the workplace: hai.stanford.edu/aiogc
πΈ Today from DC: @stanfordhai.bsky.social Faculty Affiliate Michelle Mello testified in Congress on AI in healthcare. To boost AI adoption, she discussed policy changes that could build trust in AI's performance. Read her testimony here: bit.ly/4ngI56k
π’ New policy brief: Medicare Advantage enrolls more than half of all Medicare beneficiaries. Our latest brief introduces two algorithms that can promote fairer Medicare Advantage spending for minority populations. hai.stanford.edu/policy/incre...
Celebrating our exceptional women leaders! π
Congratulations to our Founding Co-Director Fei-Fei Li and Senior Fellow Yejin Choi on being recognized in this yearβs #TIME100AI Shapers and Thinkers list!
Their work and perspectives are featured here:
time.com/collections/...
time.com/collections/...
Stanford HAI and Google DeepMind invite scholars to submit bold ideas on how AI can improve and reimagine organizations. Join our virtual Q&A tomorrow to learn more about the AI for Organizations Grand Challenge:
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9 am PT: bit.ly/45DiheH
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6 pm PT: bit.ly/3HwsxfD
A new study from @stanforddel.bsky.social shows one of the first large-scale evidence of generative AI's impact on entry-level workers. It reveals a sharp decline in employment in AI-exposed occupations, but not in jobs where AI augments human work. digitaleconomy.stanford.edu/publications...