; and (B) used as part of an artificial intelligence system to produce outputs from a given set of inputs. (5) Artificial intelligence red-teaming The term artificial intelligence red-teaming means structured adversarial testing efforts of an artificial intelligence system to identify risks, flaws, and vulnerabilities of the artificial intelligence system, such as harmful outputs from the system, unforeseen or undesirable system behaviors, limitations, or potential risks associated with the misuse of the system. (6) Artificial Intelligence Risk Management Framework The term Artificial Intelligence Risk Management Framework means the most recently updated version of the framework developed and updated pursuant to section 22A(c) of the National Institute of Standards and Technology Act ( 15 U.S.C. 278h–1(c) ). (7) Artificial intelligence system The term artificial intelligence system has the meaning given such term in section 7223 of the Advancing American AI Act ( 40 U.S.C. 11301 note). (8) Critical infrastructure The term critical infrastructure has the meaning given such term in section 1016(e) of the Uniting and Strengthening America by Providing Appropriate Tools Required to Intercept and Obstruct Terrorism (USA PATRIOT ACT) Act of 2001 ( 42 U.S.C. 5195c(e) ). (9) Federal laboratory The term Federal laboratory has the meaning given such term in section 4 of the Stevenson-Wydler Technology Innovation Act of 1980 ( 15 U.S.C. 3703 ). (10) Foundation model The term foundation model means an artificial intelligence model trained on broad data at scale and is adaptable to a wide range of downstream tasks. (11) Generative artificial intelligence The term generative artificial intelligence means the class of artificial intelligence models that utilize the structure and characteristics of input data in order to generate outputs in the form of derived synthetic content. Such derived synthetic content can include images, videos, audio, text, software, code, and other digital content. (12) National Laboratory The term