Future of Artificial Intelligence Innovation Act of 2024
A BILL
To establish artificial intelligence standards, metrics, and evaluation tools, to support artificial intelligence research, development, and capacity building activities, to promote innovation in the artificial intelligence industry by ensuring companies of all sizes can succeed and thrive, and for other purposes.
Sec. 2 Sense of Congress
It is the sense of Congress that policies governing artificial intelligence should maximize the potential and development of artificial intelligence to benefit all private and public stakeholders.
Sec. 3 Definitions
In this Act:
Agency— The term agency has the meaning given such term in section 3502 of title 44, United States Code, except such term shall include an independent regulatory agency, as defined in such section.
Artificial intelligence— The term artificial intelligence has the meaning given such term in section 5002 of the National Artificial Intelligence Initiative Act of 2020 (15 U.S.C. 9401).
Artificial intelligence blue-teaming— The term artificial intelligence blue-teaming means an effort to conduct operational network vulnerability evaluations and provide mitigation techniques to entities who have a need for an independent technical review of the network security posture of an artificial intelligence system.
Artificial intelligence model— The term artificial intelligence model means a component of an artificial intelligence system that is a model—
derived using mathematical, computational, statistical, or machine-learning techniques; and
used as part of an artificial intelligence system to produce outputs from a given set of inputs.
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.
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)).
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).
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)).
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).
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.
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.
National Laboratory— The term National Laboratory has the meaning given such term in section 2 of the Energy Policy Act of 2005 (42 U.S.C. 15801).
Synthetic content— The term synthetic content means information, such as images, videos, audio clips, and text, that has been significantly modified or generated by algorithms, including by artificial intelligence.
Testbed— The term testbed means a facility or mechanism equipped for conducting rigorous, transparent, and replicable testing of tools and technologies, including artificial intelligence systems, to help evaluate the functionality, trustworthiness, usability, and performance of those tools or technologies.
TEVV— The term TEVV means methodologies, metrics, techniques, and tasks for testing, evaluating, verifying, and validating artificial intelligence systems or components.
Watermarking— The term watermarking means the act of embedding information that is intended to be difficult to remove, into outputs generated by artificial intelligence, including outputs such as text, images, audio, videos, software code, or any other digital content or data, for the purposes of verifying the authenticity of the output or the identity or characteristics of its provenance, modifications, or conveyance.