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Government, Public Administration | Stanford HAI
Back to Government, Public Administration

All Work Published on Government, Public Administration

Fei-Fei Li's Testimony Before the Senate Committee on Homeland Security and Governmental Affairs
Fei-Fei Li
Quick ReadSep 14, 2023
Testimony

In this testimony presented to the Senate Committee on Homeland Security and Governmental Affairs, Fei-Fei Li urges the need to demystify AI, safeguard its use with privacy and fairness measures, and lead through transparent procurement and strong public AI research investment.

Fei-Fei Li's Testimony Before the Senate Committee on Homeland Security and Governmental Affairs

Fei-Fei Li
Quick ReadSep 14, 2023

In this testimony presented to the Senate Committee on Homeland Security and Governmental Affairs, Fei-Fei Li urges the need to demystify AI, safeguard its use with privacy and fairness measures, and lead through transparent procurement and strong public AI research investment.

Government, Public Administration
International Affairs, International Security, International Development
Testimony
Can the CREATE AI Act Pass the Finish Line?
Shana Lynch, Russell Wald
Nov 19, 2024
News

This bipartisan effort promises transformative benefits for AI research—but only if Congress acts now.

Can the CREATE AI Act Pass the Finish Line?

Shana Lynch, Russell Wald
Nov 19, 2024

This bipartisan effort promises transformative benefits for AI research—but only if Congress acts now.

Government, Public Administration
Regulation, Policy, Governance
News
Daniel E. Ho's Testimony Before the Senate Committee on Homeland Security and Governmental Affairs
Daniel E. Ho
Quick ReadMay 16, 2023
Testimony

In this testimony presented to the U.S. Senate Committee on Homeland Security and Governmental Affairs, Daniel E. Ho calls for Congress to seize AI’s potential to modernize federal programs and protect civil rights to maintain American leadership in AI innovation and responsible AI.

Daniel E. Ho's Testimony Before the Senate Committee on Homeland Security and Governmental Affairs

Daniel E. Ho
Quick ReadMay 16, 2023

In this testimony presented to the U.S. Senate Committee on Homeland Security and Governmental Affairs, Daniel E. Ho calls for Congress to seize AI’s potential to modernize federal programs and protect civil rights to maintain American leadership in AI innovation and responsible AI.

Government, Public Administration
Privacy, Safety, Security
Testimony
Tech Ethics & Policy: Stanford HAI’s AI Fellowship Program Connects Students with Roles in Public Service
Beth Jensen
Oct 30, 2024
News

Three students share their experiences working at the forefront of technology regulation and policy in Washington, D.C.

Tech Ethics & Policy: Stanford HAI’s AI Fellowship Program Connects Students with Roles in Public Service

Beth Jensen
Oct 30, 2024

Three students share their experiences working at the forefront of technology regulation and policy in Washington, D.C.

Democracy
Government, Public Administration
Regulation, Policy, Governance
News
Summary of AI Provisions from the National Defense Authorization Act 2023
Stanford HAI
Jan 01, 2023
Explainer

This explainer summarizes the AI provisions of the National Defense Authorization Act for Fiscal Year 2023.

Summary of AI Provisions from the National Defense Authorization Act 2023

Stanford HAI
Jan 01, 2023

This explainer summarizes the AI provisions of the National Defense Authorization Act for Fiscal Year 2023.

Government, Public Administration
Explainer
Stanford AI Model Helps Locate Racist Deeds In Santa Clara County
KQED
Oct 21, 2024
Media Mention

Stanford's RegLab, directed by HAI Senior Fellow Daniel E. Ho, developed an AI model that helped Santa Clara accelerate the process of flagging and mapping restrictive covenants. 

Stanford AI Model Helps Locate Racist Deeds In Santa Clara County

KQED
Oct 21, 2024

Stanford's RegLab, directed by HAI Senior Fellow Daniel E. Ho, developed an AI model that helped Santa Clara accelerate the process of flagging and mapping restrictive covenants. 

Government, Public Administration
Regulation, Policy, Governance
Law Enforcement and Justice
Machine Learning
Foundation Models
Media Mention
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