All Work Published on Regulation, Policy, Governance
The FTC’s Settlement With Aylo: This Isn’t Really About Fighting CSAM And Revenge Porn
Stanford HAI Policy Fellow Riana Pfefferkorn explores the ramifications of the FTC's settlement with Aylo regarding CSAM and revenge porn.
Stanford HAI Policy Fellow Riana Pfefferkorn explores the ramifications of the FTC's settlement with Aylo regarding CSAM and revenge porn.
Michelle M. Mello's Testimony Before the U.S. Senate Committee on Finance
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.
Fostering Effective Policy for a Brave New AI World: A Conversation with Rishi Bommasani
The senior research scholar and policy fellow is working across disciplines to address complex questions around AI governance.
The senior research scholar and policy fellow is working across disciplines to address complex questions around AI governance.
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.
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.
Daniel E. Ho's Testimony Before the House Oversight and Accountability Cybersecurity, Information Technology, and Government Innovation Subcommittee
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.
