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Fei Fei Li, Co-Director of Stanford HAI, stresses the importance of governance for AI technologies.
Fei Fei Li, Co-Director of Stanford HAI, stresses the importance of governance for AI technologies.

Current generative AI models struggle to recognize when demographic distinctions matter—leading to inaccurate, misleading, and sometimes harmful outcomes.

Current generative AI models struggle to recognize when demographic distinctions matter—leading to inaccurate, misleading, and sometimes harmful outcomes.
A team of researchers from Stanford HAI, MIT, and Princeton created the Foundation Model Transparency Index, which rated the transparency of 10 AI companies; each one received a failing grade.
A team of researchers from Stanford HAI, MIT, and Princeton created the Foundation Model Transparency Index, which rated the transparency of 10 AI companies; each one received a failing grade.

Thirty-two interdisciplinary teams will receive $2.37 million in Seed Research Grants to work toward initial results on ambitious proposals.

Thirty-two interdisciplinary teams will receive $2.37 million in Seed Research Grants to work toward initial results on ambitious proposals.

Stanford HAI faculty joined world leaders and policymakers to discuss AI trends, shifting U.S. policy, the future of diversity efforts, and more.

Stanford HAI faculty joined world leaders and policymakers to discuss AI trends, shifting U.S. policy, the future of diversity efforts, and more.
Erik Brynjolfsson, HAI Senior Fellow and Director of the Stanford Digital Economy Lab, comments on the problems with AI spending.
Erik Brynjolfsson, HAI Senior Fellow and Director of the Stanford Digital Economy Lab, comments on the problems with AI spending.

The MUSK model combines clinical notes and images to predict prognosis and immunotherapy response.

The MUSK model combines clinical notes and images to predict prognosis and immunotherapy response.

The prevailing public mindset that AI is only a labor-saving tool betrays a lack of understanding of why people create and a lack of imagination of this technology's potential.

The prevailing public mindset that AI is only a labor-saving tool betrays a lack of understanding of why people create and a lack of imagination of this technology's potential.