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Back to Privacy, Safety, Security

All Work Published on Privacy, Safety, Security

Daniel E. Ho's Testimony Before the House Oversight and Accountability Cybersecurity, Information Technology, and Government Innovation Subcommittee
Daniel E. Ho
Quick ReadDec 06, 2023
Testimony

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.

Daniel E. Ho's Testimony Before the House Oversight and Accountability Cybersecurity, Information Technology, and Government Innovation Subcommittee

Daniel E. Ho
Quick ReadDec 06, 2023

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.

Privacy, Safety, Security
Government, Public Administration
Regulation, Policy, Governance
Testimony
Europe's Innovation Pivot: Can the EU Lead the Next Wave of AI?
Daniel Zhang
Jun 04, 2025
News
Speaker for the event

With its AI Continent Action Plan, the EU aims to reinvent its innovation model. European Commission Executive Vice-President for Tech Sovereignty, Security and Democracy Henna Virkkunen outlines its ambition.

Europe's Innovation Pivot: Can the EU Lead the Next Wave of AI?

Daniel Zhang
Jun 04, 2025

With its AI Continent Action Plan, the EU aims to reinvent its innovation model. European Commission Executive Vice-President for Tech Sovereignty, Security and Democracy Henna Virkkunen outlines its ambition.

Government, Public Administration
Privacy, Safety, Security
Speaker for the event
News
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
Struggling DNA Testing Firm 23andMe To Be Bought For $256m
BBC
May 19, 2025
Media Mention

Stanford HAI Policy Fellow Jennifer King speaks about the data privacy implications of 23andMe's purchase by Regeneron.

Struggling DNA Testing Firm 23andMe To Be Bought For $256m

BBC
May 19, 2025

Stanford HAI Policy Fellow Jennifer King speaks about the data privacy implications of 23andMe's purchase by Regeneron.

Privacy, Safety, Security
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
The Evolution of Safety: Stanford’s Mykel Kochenderfer Explores Responsible AI in High-Stakes Environments
Scott Hadly
May 09, 2025
News

As AI technologies rapidly evolve, Professor Kochenderfer leads the charge in developing effective validation mechanisms to ensure safety in autonomous systems like vehicles and drones.

The Evolution of Safety: Stanford’s Mykel Kochenderfer Explores Responsible AI in High-Stakes Environments

Scott Hadly
May 09, 2025

As AI technologies rapidly evolve, Professor Kochenderfer leads the charge in developing effective validation mechanisms to ensure safety in autonomous systems like vehicles and drones.

Privacy, Safety, Security
News
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