How disruptive is #DeepSeek? @StanfordHAI Senior Fellow @Rbaltman argues that its development offers important lessons for the academic community, while also raising critical questions regarding data access, specialized models, and AI system evaluation. https://
hai.stanford.edu/news/how-disru
ptive-deepseek-stanford-hai-faculty-discuss-chinas-new-model
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@stanfordhai
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DeepSeek’s Disruptive Impact: Stanford HAI Faculty Analysis
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Stanford AI Leaders Brief US State Department Officials
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@StanfordHAI co-director @drfeifei
, senior fellow @AmyZegart
, and advisory council member @CondoleezzaRice spoke with a packed room of US @StateDept officials as part of the 2025 Stanford Emerging Technology Review, highlighting key areas of AI as an enabling technology. -
Stanford Proposes Ethical Framework for AI-Powered Biomedical Research
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AI in biomedical research shows great potential, but the risks are too real to ignore. @Stanford scholars propose an ethical framework to help guide biomedical researchers who are using AI in their work. @artemtrotsyuk @StanfordBioethx https://
hai.stanford.edu/news/managing-
risks-ai-powered-biomedical-research
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Stanford Researchers Develop AI Fairness Awareness Benchmark Suite
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Scholars developed a new benchmark suite aimed to test difference awareness in AI. “One-size-fits-all definitions of fairness don’t work very well—we really have to have a more contextualized understanding,” said Stanford researcher @ang3linawang
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Carlos Guestrin Appointed Director of Stanford AI Lab
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We’re excited to announce that Prof. @guestrin has been appointed as the new director of @StanfordAILab
, which is now a joint laboratory between @StanfordHAI and @StanfordEng Computer Science! Learn more about what this means for AI research at @Stanford
: https://
hai.stanford.edu/news/carlos-gu
estrin-named-director-stanford-artificial-intelligence-lab-sail-joining-efforts
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Stanford AI Lab’s Future Vision and Research Collaboration
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In our latest blog, @guestrin shares his vision for @StanfordAILab
, reflects on the collaboration with @StanfordHAI
, and speaks to the future of AI scholarship at @Stanford
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Evo 2: Generative AI Predicts Protein Functions Across Life
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A research supported by the Hoffman-Yee grant has led to Evo 2, a generative AI tool capable of predicting protein functions across all life forms, accelerating advancements in biomedical research. https://
news.stanford.edu/stories/2025/0
2/generative-ai-tool-marks-a-milestone-in-biology-and-accelerates-the-future-of-life-sciences
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Independent AI Research: Breaking Through Company Evaluation Barriers
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Third-party AI research is essential to ensure that AI companies do not grade their own homework, but few companies actively protect or promote such research. Our latest brief examines the barriers to independent AI evaluation and proposes solutions:
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Building Political Power and AI’s Technological Future Discussion
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Join us on Feb. 26 for a critical discussion on how to build political power and a technological future that benefits society. In-person attendees will receive a free copy of "AI Futures." Register here:
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Three Key Factors for Successful AI Projects
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Why do some AI projects thrive while others fail? Stanford researchers identified three key factors for successful AI projects: