Reliable Artificial Intelligence Research Act of 2026
Latest action (24 Sep 2026): Introduced
What this bill does
This bill, the Reliable Artificial Intelligence Research Act of 2026, would require the Secretary of Homeland Security to create and run at least two prize competitions. One competition would focus on improving how humans understand artificial intelligence (AI) decision-making, known as interpretability. The other would aim to develop AI systems that can withstand attacks designed to make them produce incorrect or harmful results, called adversarial robustness. These competitions would be open to entities that can develop frameworks, models, or methods related to these AI advancements.
The bill specifically defines interpretability as the ability of humans to understand how an AI model works, its inputs, and how its outputs change with input variations. Adversarial robustness is defined as an AI model's ability to resist attacks that could lead to wrong or harmful outputs, while maintaining its integrity and privacy. The Secretary would need to consult with various government agencies and industry experts when designing these competitions.
This bill was introduced in the House of Representatives in September 2026 and has been referred to the Committee on Homeland Security. If passed, it would authorize $10 million for fiscal years 2027 through 2031 to carry out these prize competitions. After the competitions conclude, the Secretary would report to Congress on the results, identified gaps, and any recommended further actions.
Plain-English summary generated by Bill100 AI from the official record. Always verify against the source below.
Official summary
This bill is in the first stage of the legislative process. It was introduced into Congress on September 24, 2026. It will typically be considered by committee next before it is possibly sent on to the House or Senate as a whole.
Common questions
- What does H.R. 10594 do?
- This bill, the Reliable Artificial Intelligence Research Act of 2026, would require the Secretary of Homeland Security to create and run at least two prize competitions. One competition would focus on improving how humans understand artificial intelligence (AI) decision-making, known as interpretability. The other would aim to develop AI systems that can withstand attacks designed to make them produce incorrect or harmful results, called adversarial robustness. These competitions would be open to entities that can develop frameworks, models, or methods related to these AI advancements. The bill specifically defines interpretability as the ability of humans to understand how an AI model works, its inputs, and how its outputs change with input variations. Adversarial robustness is defined as an AI model's ability to resist attacks that could lead to wrong or harmful outputs, while maintaining its integrity and privacy. The Secretary would need to consult with various government agencies and industry experts when designing these competitions. This bill was introduced in the House of Representatives in September 2026 and has been referred to the Committee on Homeland Security. If passed, it would authorize $10 million for fiscal years 2027 through 2031 to carry out these prize competitions. After the competitions conclude, the Secretary would report to Congress on the results, identified gaps, and any recommended further actions.
- Has H.R. 10594 become law?
- Not yet. As of 24 Sep 2026, H.R. 10594 is introduced.
- Who sponsored H.R. 10594?
- H.R. 10594 was sponsored by Rep. August Pfluger [R-TX11] (Republican-TX), with 0 cosponsors.
- What's the latest action on H.R. 10594?
- Introduced (24 Sep 2026).
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