Maggie Hassan (D-NH)
Reliable Artificial Intelligence Research Act of 2025
A Democratic bill with 1 Republican cosponsor · See the cosponsor
Last activity — Read twice and referred to the Committee on Homeland Security and Governmental Affairs.
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
The Reliable Artificial Intelligence Research Act of 2025 requires the Secretary of Homeland Security to conduct prize competitions aimed at advancing artificial intelligence research. One competition focuses on advancing the science of interpretability for commercially available or widely used artificial intelligence products. A second required competition focuses on developing artificial intelligence models that exhibit adversarial robustness for high-impact, high-risk applications. The Secretary must consult with various government officials and industry experts when organizing these competitions. Additionally, the Secretary is required to submit a report to congressional committees regarding the results and identified research gaps. The bill authorizes $10,000,000 for these purposes from fiscal years 2026 through 2030.
Yes· 3 of 7
- Scored +6
Does this put more money into scientific research?
The bill provides $10,000,000 for research competitions related to artificial intelligence science.
- Scored +5
Does this better protect the country from computer attacks?
The research into adversarial robustness specifically targets the ability of AI models to resist attacks that induce harmful outputs.
- Scored +3
Does this give people more protection from unfair business practices?
The emphasis on interpretability and adversarial robustness aims to reduce risks of incorrect or harmful AI outputs for users.
The opposite
No question was scored the opposite.
Who it would affect, and how
Potential Positive Impacts for People
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Increased AI Reliability: The bill seeks to advance interpretability, which helps humans understand how models make decisions (Section 3(a)). This could lead to more reliable artificial intelligence in high-risk, high-value use cases (Section 3(c)(3)(B)).
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Improved Security Against Attacks: The requirement for adversarial robustness research aims to help models resist attacks that cause incorrect, restricted, or harmful outputs (Section 2(1), Section 4(a)). This could reduce the risk of adversarial attacks in high-risk, high-value applications (Section 4(c)(3)(B)).
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Standard Creation: The research may create standards for artificial intelligence interpretability in both the government and industry (Section 3(c)(3)(C)).
Potential Negative Impacts for People
- No negative impacts are explicitly stated in the provided text.
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.
- Economy And Finance
- Does this give people more protection from unfair business practices? — The emphasis on interpretability and adversarial robustness aims to reduce risks of incorrect or harmful AI outputs for users. Is this likely to create jobs? — The bill funds prize competitions that may stimulate research and development jobs in the artificial intelligence sector. Is this likely to grow the economy? — Advancing AI interpretability and robustness can support long-term economic productivity through more reliable technology.
- Education And Technology
- Does this put more money into scientific research? — The bill provides $10,000,000 for research competitions related to artificial intelligence science.
- National Security And Foreign Policy
- Does this better protect the country from computer attacks? — The research into adversarial robustness specifically targets the ability of AI models to resist attacks that induce harmful outputs.
- Demographic And Interest Groups
- Would business owners be better off under this? — Advancing technical standards and robustness can provide more reliable tools for businesses using AI.
- Governance And Ideology
- Does this make what the government does easier for the public to see? — Focusing on AI interpretability can make automated government decisions more understandable to the public.
- 12/3/2025
- Read twice and referred to the Committee on Homeland Security and Governmental Affairs.
- 1 Cosponsor added.
- Introduced in Senate
One bill Congress.gov lists as related to this one — companions in the other chamber, earlier versions, and bills this one absorbed or was folded into.
Jim BanksRepublican · Indiana