S3336-119

In Committee

Reliable Artificial Intelligence Research Act of 2025

119th Congress Introduced Dec 3, 2025

Analysis under review: This bill has generated analysis that may be too generic or incomplete. Clause-level evidence remains available below.

Summary

What This Bill Does

Requires the Department of Homeland Security to run prize competitions on AI interpretability and adversarial robustness, report the results to Congress, and use authorized funding for that work.

Who Benefits and How

AI researchers and organizations working on safety, robustness, and interpretability gain federal prize opportunities, and high-risk AI users benefit from stronger evaluation methods.

Who Bears the Burden and How

DHS must design, administer, and report on the competitions, and federal funds are committed to support the program.

Key Provisions

  • Defines adversarial robustness, interpretability, red-teaming, and related terms.
  • Requires DHS to start at least one interpretability prize competition and at least one adversarial-robustness competition within 270 days.
  • Requires a follow-up report to Congress and authorizes $10 million for fiscal years 2026 through 2030.

Evidence Chain:

This summary is generated from the full bill text using AI analysis. Expand "Detailed Analysis" below for identified beneficiaries/burden bearers.

At a Glance

What This Bill Does

Requires the Department of Homeland Security to run prize competitions on AI interpretability and adversarial robustness, report the results to Congress, and use authorized funding for that work.

Key Policy Areas

Technology, Science & Space, Government Operations

Primary Purpose

Requires the Department of Homeland Security to run prize competitions on AI interpretability and adversarial robustness, report the results to Congress, and use authorized funding for that work.

Policy Domains

Technology Science & Space Government Operations

Main Provisions

Identified Gains
Contextual inference, no direct clause citation
  • AI safety researchers
  • Government and industry users of high-risk AI
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: is

Contextual inference, no direct clause citation

Identified Costs
Contextual inference, no direct clause citation
  • Department of Homeland Security
  • Federal budget
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: is

Contextual inference, no direct clause citation

Legislative Progress

In Committee
Introduced Committee Passed
Dec 3, 2025

Ms. Hassan (for herself and Mr. Banks) introduced the following …

Dec 3, 2025

Read twice and referred to the Committee on Homeland Security …

Dec 3, 2025

Introduced in Senate

Stakeholder Effects

cui bono?

How this legislation distributes effects. Mention counts reflect frequency, not effect magnitude.

Government
6 mentions across 5 clauses
+1 positive -4 negative ?1 uncertain

Congressional oversight committees, Department of Homeland Security, Federal budget

Positive-direction: Congressional oversight committees

Negative-direction: Department of Homeland Security, Federal budget

Technology
3 mentions across 3 clauses
+3 positive

AI interpretability researchers and developers, AI robustness researchers and developers, AI safety prize competition participants

6/6
sections analyzed
Full impact breakdown

Bill Structure & Actor Mappings

Who is "The Secretary" in each section?

Domains
Technology Science & Space Government Operations
Actor Mappings
"the secretary"
→ Secretary of Homeland Security

We use a combination of our own taxonomy and classification in addition to large language models to assess meaning and potential beneficiaries. High confidence means strong textual evidence. Always verify with the original bill text.

Learn more about our methodology