Congratulations to @StanfordHAI Associate Director @chrmanning for being elected to @theNAEng – the highest professional distinction awarded to an engineer! https://
nae.edu/19579/31222/20
095/327741/331605/NAENewClass2025
…
@stanfordhai
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Stanford AI Researcher Elected to National Academy Engineering
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Stanford HAI Faculty Discuss DeepSeek’s Disruptive Impact
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NEW: In this collection of perspectives, @StanfordHAI senior fellows offer a multidisciplinary discussion of what #DeepSeek means for the field of artificial intelligence and society at large. https://
hai.stanford.edu/news/how-disru
ptive-deepseek-stanford-hai-faculty-discuss-chinas-new-model
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Independent AI Evaluation Essential for Safety Accountability
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New policy brief: Independent evaluation is essential to ensuring the safety and accountability of AI systems. Our latest brief examines the barriers to independent AI evaluation and proposes safe harbors to protect third-party research. https://
hai.stanford.edu/safeguarding-t
hird-party-ai-research
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Generative AI models must account for demographic differences
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Current generative AI models often ignore crucial demographic distinctions, resulting in misleading outputs. A new study calls for a shift towards difference and context awareness:
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Public AI Assistant Workshop: Democratizing Productivity and Information Access
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AI has the potential to revolutionize productivity & equitable access to information worldwide. How can we make it a reality? Join tomorrow’s workshop exploring the potential of a public AI assistant with @StanfordOVAL
. Watch the livestream at 8:30 am PT: https://
bit.ly/42VoWA0 -
US Policy Shift Prioritizes AI Innovation Over Safety
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"Clearly from JD Vance's speech, the U.S. policy has an unequivocal shift now. Safety is not going to be the primary focus but instead it's going to be accelerated innovation." @StanfordHAI Executive Director @russellwald was quoted in a @Reuters report
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Stanford introduces longitudinal datasets for healthcare AI evaluation
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Longitudinal data is crucial for evaluating #healthcareAI, yet most studies rely on one set of patient data. Stanford scholars introduce new datasets that could enhance the evaluation of AI's clinical benefits: https://
stanford.io/40YSWs9 -
Stanford Releases Sub-$50 AI Reasoning Model, Commoditizing Advanced Models
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Stanford scholars including @drfeifei
, @percyliang
, and @tatsu_hashimoto released a paper last week on an AI “reasoning” model trained for under $50, raising real questions about the commoditization of AI models. Read via @TechCrunch
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GenAI Art: Should Humans Make Rather Than Automate?
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“What if the point of art is that we actually make it?” writes @StanfordHAI Senior Fellow and Associate Director @gewang in a new essay about today’s primarily labor-saving uses of GenAI for artistic expression. https://
stanford.io/3Qes8iA -
Stanford OVAL Tutorial: Reliable LLM Knowledge Assistants
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On Feb. 14, @StanfordOVAL will host a tutorial exploring how to transform LLMs into reliable knowledge assistants. See Stanford's Genie technology in action by signing up here: