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Experts from Stanford HAI and top universities urge policymakers to prioritize scientific understanding to govern frontier AI.
Experts from Stanford HAI and top universities urge policymakers to prioritize scientific understanding to govern frontier AI.


In this testimony presented to the U.S. Senate Committee on Finance, Michelle M. Mello provides recommendations on how Congress can support healthcare organizations and health insurers navigating the uncharted territory of AI tools by imposing some guardrails while allowing the rules to evolve with the technology.
In this testimony presented to the U.S. Senate Committee on Finance, Michelle M. Mello provides recommendations on how Congress can support healthcare organizations and health insurers navigating the uncharted territory of AI tools by imposing some guardrails while allowing the rules to evolve with the technology.


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.
