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Regulation, Policy, Governance | Stanford HAI
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Back to Regulation, Policy, Governance

All Work Published on Regulation, Policy, Governance

The Privacy-Bias Trade-Off
Arushi Gupta, Victor Y. Wu, Helen Webley-Brown, Jennifer King, Daniel E. Ho
Quick ReadOct 19, 2023
Policy Brief

This brief examines the “regulatory misalignment” of existing regulatory proposals for AI and urges policymakers to first consider feasibility, trade-offs, and unintended consequences before rushing into regulation.

The Privacy-Bias Trade-Off

Arushi Gupta, Victor Y. Wu, Helen Webley-Brown, Jennifer King, Daniel E. Ho
Quick ReadOct 19, 2023

This brief examines the “regulatory misalignment” of existing regulatory proposals for AI and urges policymakers to first consider feasibility, trade-offs, and unintended consequences before rushing into regulation.

Privacy, Safety, Security
Regulation, Policy, Governance
Policy Brief
Ethical Frameworks For AI: Are They Good Enough?
Forbes
Oct 07, 2025
Media Mention

HAI Executive Director Russell Wald speaks about the state of AI regulation.

Ethical Frameworks For AI: Are They Good Enough?

Forbes
Oct 07, 2025

HAI Executive Director Russell Wald speaks about the state of AI regulation.

Regulation, Policy, Governance
Media Mention
Responses to NTIA's Request for Comment on AI Accountability Policy
Rishi Bommasani, Sayash Kapoor, Daniel Zhang, Arvind Narayanan, Percy Liang, Jennifer King
Jun 14, 2023
Response to Request

Stanford scholars respond to a federal RFC on AI accountability policy issued by the National Telecommunications and Information Administration (NTIA).

Responses to NTIA's Request for Comment on AI Accountability Policy

Rishi Bommasani, Sayash Kapoor, Daniel Zhang, Arvind Narayanan, Percy Liang, Jennifer King
Jun 14, 2023

Stanford scholars respond to a federal RFC on AI accountability policy issued by the National Telecommunications and Information Administration (NTIA).

Foundation Models
Privacy, Safety, Security
Regulation, Policy, Governance
Response to Request
How Congress Could Stifle The Onslaught Of AI-Generated Child Sexual Abuse Material
Tech Policy Press
Sep 25, 2025
Media Mention

HAI Policy Fellow Riana Pfefferkorn advises on ways in which the United States Congress could move the needle on model safety regarding AI-generated CSAM.


How Congress Could Stifle The Onslaught Of AI-Generated Child Sexual Abuse Material

Tech Policy Press
Sep 25, 2025

HAI Policy Fellow Riana Pfefferkorn advises on ways in which the United States Congress could move the needle on model safety regarding AI-generated CSAM.


Ethics, Equity, Inclusion
Privacy, Safety, Security
Regulation, Policy, Governance
Media Mention
Implementation Challenges to Three Pillars of America’s AI Strategy
Christie M. Lawrence, Isaac Cui, Daniel E. Ho
Deep DiveDec 20, 2022
White Paper

This white paper assesses the implementation status of three U.S. executive and legal actions related to AI innovation and trustworthy AI, calling for improvements in reporting and tracking key requirements.

Implementation Challenges to Three Pillars of America’s AI Strategy

Christie M. Lawrence, Isaac Cui, Daniel E. Ho
Deep DiveDec 20, 2022

This white paper assesses the implementation status of three U.S. executive and legal actions related to AI innovation and trustworthy AI, calling for improvements in reporting and tracking key requirements.

Government, Public Administration
Regulation, Policy, Governance
White Paper
The Trump FTC’s War On Porn Just Ensured That Accused CSAM Offenders Will Walk Free
Tech Dirt
Sep 15, 2025
Media Mention

Stanford HAI Policy Fellow Riana Pfefferkorn discusses the complexities of the FTC's settlement with Aylo regarding prosecuting CSAM offenders.

The Trump FTC’s War On Porn Just Ensured That Accused CSAM Offenders Will Walk Free

Tech Dirt
Sep 15, 2025

Stanford HAI Policy Fellow Riana Pfefferkorn discusses the complexities of the FTC's settlement with Aylo regarding prosecuting CSAM offenders.

Regulation, Policy, Governance
Media Mention
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