(1)
Antitrust laws—
(A)
In general— The term “antitrust laws” has the meaning given that term in section 102 of the Cybersecurity Information Sharing Act of 2015 (
6 U.S.C. 1501).
(B)
Rule of construction— For the purposes of this Act, the laws described in section 102(2) of the Cybersecurity Information Sharing Act of 2015 (
6 U.S.C. 1501(2)) are consistent to the extent they do not conflict.
(2)
Artificial intelligence— The term “artificial intelligence” has the meaning given that term in section 238(g) of the John S. McCain National Defense Authorization Act for Fiscal Year 2019 (
10 U.S.C. 4001 note).
(3)
Assistance— The term “assistance” includes the provision of software, hardware, data, personnel, and other resources.
(4)
Assistant attorney general— The term “Assistant Attorney General” means the Assistant Attorney General in charge of the Antitrust Division of the Department of Justice.
(5)
Covered artificial intelligence security purpose— The term “covered artificial intelligence security purpose” means the purpose of protecting against, identifying, evaluating, testing, analyzing, preventing, investigating, or mitigating a covered artificial intelligence security risk.
(6)
Covered artificial intelligence security risk— The term “covered artificial intelligence security risk” means the potential for artificial intelligence, including during development, training, testing, evaluation, deployment, use, or release, to do 1 or more of the following:
(A)
Be stolen, distilled, weaponized, trained, developed, or deployed by a covered nation (as defined in section 4872(f)(2) of title 10, United States Code) or an entity owned, controlled, or directed by a covered nation in a manner that poses a significant threat to the national security, including through covert, clandestine, undisclosed, or otherwise concealed development activities that attempt to evade detection or verification.
(B)
Substantially facilitate the development or deployment of a chemical, biological, radiological, nuclear, or offensive cyber weapon.
(C)
Cause a disruption to, degradation of, impairment of, or loss of operational control over critical infrastructure that is reasonably likely to result in a significant impact on security, national public health or safety, or any combination thereof.
(D)
Substantially reduce the ability of a developer, deployer, owner, operator, user, evaluator, auditor, Federal department or agency, or other governmental authority to oversee, evaluate, monitor, control, contain, restrict access to, disable, or terminate such artificial intelligence, if the applicable person or governmental authority has authority or responsibility to do so, including through unauthorized, deceptive, evasive, or malicious activity involving such artificial intelligence.
(E)
Autonomously improve, or substantially facilitate the autonomous improvement of the capabilities of artificial intelligence in a manner that creates a substantial risk of a consequence described in subparagraph (A), (B), (C), or (D).
(F)
Be vulnerable to unauthorized access that—
(i)
creates a substantial risk of a consequence described in subparagraphs (A) through (E); or
(ii)
is for the benefit of, at the direction of, or under the control of—
(I)
a covered nation (as defined in section 4872(f)(2) of title 10, United States Code); or
(II)
an entity owned, controlled, or directed by a covered nation.
(7)
Exclusive purpose— The term “exclusive purpose”, with respect to an action, means for the purpose of, with not more than an insubstantial part of the relevant action being for other purposes.
(8)
Non-federal entity— The term “non-Federal entity” has the meaning given that term in section 102 of the Cybersecurity Information Sharing Act of 2015 (
6 U.S.C. 1501).
(9)
Unauthorized access— The term “unauthorized access” with respect to artificial intelligence—
(A)
means unauthorized access or use of artificial intelligence; and
(B)
includes—
(i)
extraction or copying of model weights, parameters, or other nonpublic model information;
(ii)
systematic querying or automated extraction designed to distill, replicate, or reconstruct model capabilities; and
(iii)
compromise affecting the integrity, reliability, or security of artificial intelligence, including through malicious code, a backdoor, manipulated data, or compromise of an artificial intelligence model, training dataset, or artificial intelligence component.