Ted Lieu (D-CA)
Federal Artificial Intelligence Risk Management Act of 2026
A Democratic bill with 1 Republican cosponsor · See all 3 cosponsors
Last activity — Referred to the House Committee on Science, Space, and Technology.
In committee
Introduced and handed to a committee in the chamber it started in.
The committee holds it, and most bills are never heard from again. A hearing or a committee vote would be news; silence is the usual outcome, and it kills the bill without anyone voting against it.
Its path through Congress
- Introduced
- In Committee
What this bill would do
This bill, known as the "Federal Artificial Intelligence Risk Management Act of 2026," directs the Director of NIST to create standards for artificial intelligence used by Federal agencies. It requires the development of guidelines regarding minimum requirements, risk management, and the labeling of synthetic content. These rules apply to agency operations and contractors but exclude national security systems. The Director is also tasked with conducting research, performing gap analyses, and working with stakeholders on testing and evaluation standards. Finally, the act establishes a process for submitting these standards to the Secretary of Commerce for official promulgation.
Yes· 3 of 12
- Scored +3
Does this make what the government does easier for the public to see?
The bill requires standards for labeling and tracking the provenance of synthetic content generated by government agencies.
- Scored +2
Does this give the federal government more power?
The act centralizes the development of mandatory AI standards and risk management requirements for all Federal agencies.
- Scored +2
Does this better protect the country from computer attacks?
Establishing standards for AI risk management and provenance for synthetic content can enhance the integrity of agency operations against digital manipulation.
The opposite
No question was scored the opposite.
Who it would affect, and how
Potential Positive Impacts for People
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Improved Transparency of Artificial Content: The bill requires the development of standards for authenticating, tracking provenance, and labeling synthetic content generated by agencies or their contractors (Section 2(a)(3)). This could help people identify when information, such as images or text, has been modified or generated by algorithms.
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Enhanced Risk Management: The Director is tasked with creating standards for managing risks related to the trustworthiness of artificial intelligence systems (Section 2(a)(2)). This focus on managing risks for agency operations and assets could lead to more reliable use of AI in the public sector.
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Standardized Testing and Verification: The bill mandates that the Director develop standards for the testing, evaluation, verification, and validation of AI systems during the acquisition process (Section 2(d)(2)). This could ensure that the AI tools used by the government meet specific quality and safety benchmarks.
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Agency Readiness and Support: The Act provides for technical review and assistance to help Federal agencies implement these new standards effectively (Section 2(c)(2)). This support could ensure that the transition to new AI standards is handled competently across different government departments.
Potential Negative Impacts for People
- Exclusion of National Security Systems: The standards and guidelines developed under this act are specifically prohibited from applying to national security systems (Section 2(a)(1) and Section 2(a)(2)). This means there may be a gap in the oversight and risk management standards applied to AI used within those specific high-level systems.
Groups and Interests Ranking
Every group the model scored this bill for, from -10 to +10. Tap or hover a score for the reason it gave.
- Demographic And Interest Groups
- Would Black Americans be better off under this? — Standardized AI risk management may assist in identifying and preventing algorithmic biases affecting minority populations. Would Asian Americans be better off under this? — Standardized AI risk management may assist in identifying and preventing algorithmic biases affecting minority populations. Would Hispanic Americans be better off under this? — Standardized AI risk management may assist in identifying and preventing algorithmic biases affecting minority populations. Would Native Americans be better off under this? — Standardized AI risk management may assist in identifying and preventing algorithmic biases affecting minority populations. Would people in cities be better off under this? — Increased transparency regarding synthetic content may benefit all citizens interacting with digital government services. Would white Americans be better off under this? — Standardized AI risk management may assist in identifying and preventing algorithmic biases affecting minority populations.
- Governance And Ideology
- Does this make what the government does easier for the public to see? — The bill requires standards for labeling and tracking the provenance of synthetic content generated by government agencies. Does this give the federal government more power? — The act centralizes the development of mandatory AI standards and risk management requirements for all Federal agencies. Does this protect people from being watched or searched? — The creation of standards for authenticating and tracking synthetic content helps protect the public from deceptive algorithmic information.
- National Security And Foreign Policy
- Does this better protect the country from computer attacks? — Establishing standards for AI risk management and provenance for synthetic content can enhance the integrity of agency operations against digital manipulation.
- Education And Technology
- Does this put more money into scientific research? — The bill directs the Director of NIST to conduct research and analysis to inform the development of AI standards.
- Social Issues And Justice
- Does this narrow racial gaps in how people are treated? — The bill's focus on AI trustworthiness and synthetic content labeling may help mitigate algorithmic biases that impact racial equity.
- 5/29/2026
- 1 Cosponsor added.
- 5/14/2026
- Referred to the House Committee on Science, Space, and Technology.
- 2 Cosponsors added.
- Introduced in House
Donald BeyerDemocrat · Virginia
Josh GottheimerDemocrat · New Jersey
Zachary NunnRepublican · Iowa