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Stanford HAI Co-Director Fei-Fei Li is named as TIME100's 2025 most influential shapers in AI.
Stanford HAI Co-Director Fei-Fei Li is named as TIME100's 2025 most influential shapers in AI.

This white paper presents considerations for the Congressional Black Caucus’s policy initiatives by highlighting where AI holds the potential to deepen racial inequalities and where it can benefit Black communities.
This white paper presents considerations for the Congressional Black Caucus’s policy initiatives by highlighting where AI holds the potential to deepen racial inequalities and where it can benefit Black communities.

Rishi Bommasani, Society Lead at Stanford Center for Research on Foundation Models, speaks about a new analysis: "Do AI Companies Make Good on Voluntary Commitments to the White House?"
Rishi Bommasani, Society Lead at Stanford Center for Research on Foundation Models, speaks about a new analysis: "Do AI Companies Make Good on Voluntary Commitments to the White House?"

This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.
This white paper explores the current and future impact of privacy and data protection legislation on AI development and provides recommendations for mitigating privacy harms in an AI era.

Erik Brynjolfsson, HAI Senior Fellow and Director of the Stanford Digital Economy Lab, speaks about AI's policymakers' roles in preparing for AI impacts on the labor markets.
Erik Brynjolfsson, HAI Senior Fellow and Director of the Stanford Digital Economy Lab, speaks about AI's policymakers' roles in preparing for AI impacts on the labor markets.

In this testimony presented in the California Senate Hearing “California at the Forefront: Steering AI Towards Ethical Horizons,” Daniel E. Ho offers three recommendations for how California should lead the nation in responsible AI innovation by nurturing and attracting technical talent into public service, democratizing access to computing and data resources, and addressing the information asymmetry about AI risks.
In this testimony presented in the California Senate Hearing “California at the Forefront: Steering AI Towards Ethical Horizons,” Daniel E. Ho offers three recommendations for how California should lead the nation in responsible AI innovation by nurturing and attracting technical talent into public service, democratizing access to computing and data resources, and addressing the information asymmetry about AI risks.
