[Congressional Record Volume 172, Number 106 (Wednesday, June 24, 2026)]
[Senate]
[Pages S3409-S3410]
From the Congressional Record Online through the Government Publishing Office [www.gpo.gov]

  SA 6247. Ms. HASSAN submitted an amendment intended to be proposed by 
her to the bill S. 4784, to authorize appropriations for fiscal year 
2027 for military activities of the Department of Defense, for military 
construction, and for defense activities of the Department of Energy, 
to prescribe military personnel strengths for such fiscal year, and for 
other purposes; which was ordered to lie on the table; as follows:

        At the end of subtitle B of title II, add the following:

     SEC. 225. PRIZE COMPETITIONS TO ADVANCE ARTIFICIAL 
                   INTELLIGENCE INTERPRETABILITY AND ADVERSARIAL 
                   ROBUSTNESS.

       (a) Prize Competition for Artificial Intelligence 
     Interpretability Research.--
       (1) Interpretability prize competition.--Not later than 270 
     days after the date of enactment of this Act, the Secretary 
     of Homeland Security (in this section, referred to as the 
     ``Secretary'') shall commence carrying out at least one prize 
     competition under section 24 of the Stevenson-Wydler 
     Technology Innovation Act of 1980 (15 U.S.C. 3719) to advance 
     the science of interpretability in a manner relevant to 
     commercially available or widely used artificial intelligence 
     products.
       (2) Consultation.--In carrying out the prize competition 
     required by paragraph (1), the Secretary shall consult with--
       (A) the Secretary of Commerce;
       (B) the Director of the National Institute of Standards and 
     Technology;
       (C) the National Cyber Director;
       (D) the Director of the National Science Foundation; and
       (E) any industry expert from the artificial intelligence 
     sector in the United States that the Secretary considers 
     relevant.
       (3) Structure and evaluation criteria.--
       (A) In general.--The Secretary shall develop the structure 
     and evaluation criteria for a prize competition carried out 
     under paragraph (1) in accordance with the primary purpose 
     described in that paragraph.
       (B) Competition structure.--The Secretary may--
       (i) structure a competition under paragraph (1) into one or 
     more phases, including submission of interpretability 
     frameworks, submission of interpretable artificial 
     intelligence models, and unique basic research; and
       (ii) open these phases to the same, or to distinct, 
     contestant pools.
       (C) Evaluation considerations.--In developing the 
     evaluation criteria for the frameworks, models, or methods 
     submitted for a prize competition under paragraph (1), the 
     Secretary shall consider--
       (i) the degree to which a submission advances broadly 
     applicable principles of artificial intelligence 
     interpretability;
       (ii) the practical value of a submission in making 
     artificial intelligence more understandable and reliable in 
     high-risk, high-value use cases; and

[[Page S3410]]

       (iii) the likelihood that the unique research submitted 
     will create standards for artificial intelligence 
     interpretability in the government or industry.
       (4) Program administration.--The Secretary may enter into 
     contracts, cooperative agreements, or other agreements with 
     for-profit or nonprofit entities or State, territorial, 
     local, or Tribal agencies to design and administer any prize 
     competition carried out under paragraph (1).
       (b) Prize Competition for Artificial Intelligence 
     Adversarial Robustness Research.--
       (1) Adversarial robustness prize competition.--Not later 
     than 270 days after the date of enactment of this Act, the 
     Secretary shall commence carrying out at least one prize 
     competition under section 24 of the Stevenson-Wydler 
     Technology Innovation Act of 1980 (15 U.S.C. 3719) to develop 
     capable artificial intelligence models that are designed to 
     exhibit adversarial robustness in circumstances necessary for 
     at least one high-impact, high-risk application in government 
     or industry.
       (2) Consultation.--In carrying out a prize competition 
     required by paragraph (1), the Secretary shall consult with--
       (A) the Secretary of Commerce;
       (B) the Director of the Institute of Standards and 
     Technology;
       (C) the National Cyber Director;
       (D) the Director of the National Science Foundation;
       (E) any industry expert from the artificial intelligence 
     sector in the United States that the Secretary considers 
     relevant; and
       (F) the head of any Federal agency who has authority or 
     expertise in a high-impact, high-risk application of 
     artificial intelligence that could be an appropriate subject 
     for a prize competition under paragraph (1).
       (3) Structure and evaluation criteria.--
       (A) In general.--The Secretary shall develop the structure 
     and evaluation criteria for a prize competition carried out 
     under paragraph (1) in accordance with the primary purpose 
     described in that paragraph.
       (B) Competition structure.--The Secretary may--
       (i) structure a competition under paragraph (1) into one or 
     more phases, including submission of adversarial robustness 
     frameworks, submission of artificial intelligence models, and 
     red-teaming; and
       (ii) open these phases to the same, or to distinct, 
     contestant pools.
       (C) Evaluation considerations.--In developing the 
     evaluation criteria for the frameworks, models, or methods 
     submitted for a prize competition under paragraph (1), the 
     Secretary shall consider--
       (i) the degree to which a submission advances broadly 
     applicable principles of artificial intelligence robustness; 
     and
       (ii) the practical value of the submission in reducing the 
     risk of adversarial attacks in high-risk, high-value use 
     cases of artificial intelligence.
       (4) Program administration.--The Secretary may enter into 
     contracts, cooperative agreements, or other agreements with 
     for-profit or nonprofit entities or State, territorial, 
     local, or Tribal agencies to design and administer any prize 
     competition carried out under paragraph (1).
       (c) Tracking and Reporting.--
       (1) In general.--Not later than 180 days after the date on 
     which the first prize competition concludes, the Secretary 
     shall submit to the appropriate congressional committees a 
     report that includes--
       (A) an evaluation of how the results of the competitions 
     inform the fields of interpretability and adversarial 
     robustness;
       (B) an assessment of any gaps in these fields identified by 
     the Secretary over the course of the competitions; and
       (C) any suggested action that Congress should take to 
     advance the fields of interpretability, adversarial 
     robustness, and any related research.
       (2) Appropriate congressional committees defined.--In this 
     section, the term ``appropriate congressional committees'' 
     means--
       (A) the Committee on Homeland Security and Governmental 
     Affairs of the Senate; and
       (B) the Committee on Homeland Security of the House of 
     Representatives.
       (d) Appropriations.--There is authorized to be appropriated 
     to the Secretary to carry out this section $10,000,000 for 
     the period of fiscal years 2027 through 2030.
       (e) Definitions.--In this section:
       (1) The term ``adversarial robustness'' means the degree to 
     which an artificial intelligence model is able to resist 
     attacks that would induce it to produce incorrect, 
     restricted, or harmful outputs, while maintaining integrity, 
     reliability, and privacy.
       (2) The term ``artificial intelligence'' has the meaning 
     given the term in section 5002 of the National Artificial 
     Intelligence Initiative Act of 2020 (15 U.S.C. 9401).
       (3) The term ``interpretability'' means the degree to which 
     humans are able to accurately understand how an artificial 
     intelligence model makes decisions and considers inputs and 
     how the outputs or behaviors of the model respond to a change 
     in the inputs.
       (4) The term ``red-teaming'' means a structured, 
     interactive, and adversarial process to test an artificial 
     intelligence system by simulating real-world actions to find 
     vulnerabilities or flaws in the system.
                                 ______