Plus: New York is using AI to overhaul outdated laws
Governments are spending billions to define their AI independence. HAI Denning Director James Landay explains that the commercial market rushing to meet that demand offers real benefits, but may also provide options that deepen the dependencies it promises to dissolve.
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As more people turn to chatbots for mental health support, AI developers have come to rely on expert ratings to validate model safety. A new study finds that when psychiatrists rate the same AI responses, their scores diverge in ways that reflect genuinely incompatible clinical frameworks, leaving developers without a reliable method for improving model safety.
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From helping to build the largest DNA language model ever trained to co-creating an AI research assistant used by 15,000 scientists, Stanford HAI faculty are at the frontier of a fundamental shift in how science gets done. The barriers to scientific discovery have always been the same: too little time, too few resources, too much data to process. AI is changing that.
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HUMAN-CENTERED PERSPECTIVES |
New York Governor Kathy Hochul is using AI to comb through 18 million words of state statute, flagging outdated requirements like mandatory fax submissions and telegram notifications. The tools were pioneered by the Stanford RegLab, led by Stanford HAI Associate Director Daniel E. Ho.
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For PhD students and postdocs charting a path in academic data science, the 2026 Rising Stars Workshop offers a rare opportunity to connect with leading researchers and institutions including Stanford HAI, University of Chicago, Harvard, and UC San Diego. Attend the info session to find out if the program is right for you.
Register here →
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Most AI solutions are designed without a deep understanding of the people they’re meant to serve. This fall, Stanford HAI and Stanford d.school are offering social sector leaders a three-day immersive program that combines human-centered design with hands-on AI development.
Join the 2026 fall cohort →
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