CSET

Blumenthal and Hawley’s U.S. AI Act Framework: CSET’s Perspective and Contributions

Tessa Baker

September 19, 2023

On September 8, 2023, Senators Richard Blumenthal (D-CT) and Josh Hawley (R-MO) released their Bipartisan Framework on AI Legislation. The framework includes many ideas and recommendations that CSET research has highlighted over the past four years. This blog post highlights some of the most relevant reports and CSET’s perspective on the framework’s elements.

Related Content

The Summer of 2023 will likely go down in the history books as the “Summer of AI”—with numerous advancements in LLMs and other generative AIs capturing the public’s consciousness. At the same time, the Biden… Read More

On July 21, the White House announced voluntary commitments from seven AI firms to ensure safe, secure, and transparent AI. CSET’s research provides important context to this discussion. Read More

Dr. Dewey Murdick testified before the House Science Committee on steps the United States can take to support U.S. AI innovation, prevent authoritarian governments from surpassing us in AI, and improving user safety. Read More

CSET Director Dewey Murdick testified before the Senate Select Committee on Intelligence hearing on "Countering the People’s Republic of China’s Economic and Technological Plan for Dominance." Murdick discussed China's strategy to move towards self-sufficiency in… Read More

This paper is the first installment in a series on “AI safety,” an area of machine learning research that aims to identify causes of unintended behavior in machine learning systems and develop tools to ensure… Read More

This explainer defines criteria for effective AI Incident Collection and identifies tradeoffs between potential reporting models: mandatory, voluntary, and citizen reporting. Read More

Analysis

A Common Language for Responsible AI

October 2022

Policymakers, engineers, program managers and operators need the bedrock of a common set of terms to instantiate responsible AI for the Department of Defense. Rather than create a DOD-specific set of terms, this paper argues… Read More

Analysis

Adding Structure to AI Harm

July 2023

Real-world harms caused by the use of AI technologies are widespread. Tracking and analyzing them improves our understanding of the variety of harms and the circumstances that lead to their occurrence once AI systems are… Read More

As modern machine learning systems become more widely used, the potential costs of malfunctions grow. This policy brief describes how trends we already see today—both in newly deployed artificial intelligence systems and in older technologies—show… Read More