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The White House favors market-driven growth and light governance, signaling a departure from the previous administration.
The White House favors market-driven growth and light governance, signaling a departure from the previous administration.


This brief explores the legal liability risks of healthcare AI tools by analyzing the challenges courts face in dealing with patient injury caused by defects in AI or software systems.
This brief explores the legal liability risks of healthcare AI tools by analyzing the challenges courts face in dealing with patient injury caused by defects in AI or software systems.

In this video, HAI Co-Director Fei-Fei Li discusses ethical development of artificial intelligence and the challenge of establishing effective regulations. She addresses government funding of research, diversity in science, and ensuring child safety as AI advances.
In this video, HAI Co-Director Fei-Fei Li discusses ethical development of artificial intelligence and the challenge of establishing effective regulations. She addresses government funding of research, diversity in science, and ensuring child safety as AI advances.

In this testimony presented to the U.S. House Subcommittee on Cybersecurity, Information Technology, and Government Innovation, Daniel E. Ho recommends six AI governance actions including boosting AI talent, establishing a mandated adverse event reporting system, and funding public AI research initiatives.
In this testimony presented to the U.S. House Subcommittee on Cybersecurity, Information Technology, and Government Innovation, Daniel E. Ho recommends six AI governance actions including boosting AI talent, establishing a mandated adverse event reporting system, and funding public AI research initiatives.

Fei-Fei Li, co-director of Stanford HAI, emphasized the risks of cutting research funding and international student visas to the US as it faces an increasingly competitive global tech race.
Fei-Fei Li, co-director of Stanford HAI, emphasized the risks of cutting research funding and international student visas to the US as it faces an increasingly competitive global tech race.

This brief sheds light on the “regulatory misalignment” problem by considering the technical and institutional feasibility of four commonly proposed AI regulatory regimes.
This brief sheds light on the “regulatory misalignment” problem by considering the technical and institutional feasibility of four commonly proposed AI regulatory regimes.
