Sec. 101. Center for Artificial Intelligence Standards and Innovation
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The National Institute of Standards and Technology Act ( 15 U.S.C. 271 et seq. ) is amended by inserting after section 22A ( 15 U.S.C. 278h–1 ) the following: In this section: The term agency has the meaning given the term Executive agency in section 105 of title 5, United States Code. 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 ). The term artificial intelligence blue-teaming means an effort to conduct operational vulnerability evaluations and provide mitigation techniques to entities who have a need for an independent technical review of the security posture of an artificial intelligence system.
The term artificial intelligence red-teaming means structured adversarial testing efforts of an artificial intelligence system. 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 ). 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. 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 an artificial intelligence system.
The term testbed means a facility or mechanism, virtual or otherwise, 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. The term watermarking means the act of embedding provenance and authenticity information that is intended to be difficult to remove, into outputs generated by artificial intelligence systems or in original content, including outputs such as text, images, audio, videos, software code, or any other digital content or data, for the purposes of verifying and maintaining the authenticity, integrity, and reliability of the output or the identity or characteristics of its provenance, modifications, or conveyance.
Not later than 90 days after the date of the enactment of the Future of Artificial Intelligence Innovation Act of 2026 , the Director shall establish a center on artificial intelligence within the Institute. The center established pursuant to paragraph
(1)shall be known as the Center for Artificial Intelligence Standards and Innovation (in this section the Center ). The mission of the Center is to assist the private sector and agencies in developing voluntary best practices for the robust assessment of artificial intelligence systems, which may be contributed to or inform the work on such practices in standards development organizations. The functions of the Center, which the Center shall carry out in coordination with the laboratories of the Institute, include the following: Using publicly available or voluntarily provided information, assessing artificial intelligence systems and developing guidelines and best practices to measure and improve the secure development, deployment, and use of artificial intelligence technology. Supporting artificial intelligence red-teaming, sharing best practices, and coordinating on building testbeds and test environments with allies and international partners of the United States. Developing and publishing physical and cybersecurity tools, methodologies, best practices, voluntary guidelines, and other supporting information to assist persons who maintain systems used to create or train artificial intelligence models with discovering and mitigating vulnerabilities and attacks, including manipulation through data poisoning, including those that may be exploited by foreign adversaries. Establishing artificial intelligence blue-teaming capabilities to support mitigation approaches and partnering with industry to address the reliability of artificial intelligence systems. Developing tools, methodologies, best practices, and voluntary guidelines for detecting synthetic content, authenticating content and tracking of the provenance of content, labeling original and synthetic content, such as by watermarking, and evaluating software and systems relating to detection and labeling of synthetic content. Coordinating or developing metrics and methodologies for testing artificial intelligence systems, including the following: Cataloging existing artificial intelligence metrics and evaluation methodologies used in industry and academia. Testing the efficacy of existing metrics and evaluations. Documenting tools that assess reliability, accuracy, and robustness. Coordinating with counterpart international institutions, partners, and allies to support global interoperability in the development of research and testing of standards relating to artificial intelligence. Producing resources for Federal agencies to conduct their own evaluations of artificial intelligence systems to best fulfill their missions. Convening meetings on a semiannual basis with Federal agencies and the private sector— to share information and best practices on building artificial intelligence evaluations; and to accelerate the development and adoption of national standards for artificial intelligence systems in sectors including, biotechnology, agriculture, and health care. Examining safeguards and best practices to secure artificial intelligence systems from cyber attacks. Examining safeguards and best practices to protect against unintended use of artificial intelligence for the purpose of developing chemical, biological, radiological, nuclear, and energy-security threats or hazards. Providing, in consultation with the Secretary of Homeland Security and the Director of the Cybersecurity and Information Security Agency, a toolkit for best practices in anticipating, responding to, and recovering from cybersecurity incidents involving artificial intelligence systems. Such toolkit may include guidance on remediating and responding to known artificial intelligence-specific vulnerabilities. Developing, and curating, in consultation with the Secretary of Labor, a list of high-priority occupations for training for the advancement and deployment of artificial intelligence. Developing best practices on minimum data quality standards for the use of biological, material science, chemical, physical, and other scientific areas in artificial intelligence model training. Examining, in consultation with the heads of other relevant Federal agencies, the vulnerabilities in the supply chain of hardware, including semiconductors and microelectronics, that are critical to enabling the development and deployment of artificial intelligence. Examining ways in which artificial intelligence may be used by the Federal Government in combating fraud and other unfair or deceptive practices. Identify proven, scalable, and interoperable techniques and metrics to promote the development of artificial intelligence. Not later than 180 days after the date of the enactment of the Future of Artificial Intelligence Innovation Act of 2026 , the Director shall establish a consortium of stakeholders from academic or research communities, Federal laboratories, private industry, including companies of all sizes with different roles in the use of artificial intelligence systems, including developers, deployers, evaluators, users, and civil society with expertise in matters relating to artificial intelligence to support the Center in carrying out the functions set forth under subsection (c). The consortium established pursuant to subparagraph
(A)shall be known as the Center for Artificial Intelligence Standards and Innovation Consortium . The Director shall consult with the consortium established under this subsection not less frequently than quarterly. Not later than 1 year after the date of the enactment of the Future of Artificial Intelligence Innovation Act of 2026 and not less frequently than once each year thereafter, the Director shall submit to the Committee on Commerce, Science, and Transportation of the Senate and the Committee on Science, Space, and Technology of the House of Representatives a report summarizing the contributions of the members of the consortium established under this subsection in support the efforts of the Center. In carrying out the functions under subsection (c), the Director shall support and contribute to the development of voluntary, consensus-based technical standards for testing artificial intelligence system components, including by addressing, as the Director considers appropriate, the following: Physical infrastructure for training or developing artificial intelligence models and systems, including cloud infrastructure. Physical infrastructure for operating artificial intelligence systems, including cloud infrastructure. Data for training artificial intelligence models. Data for evaluating the functionality and trustworthiness of trained artificial intelligence models and systems. Trained or partially trained artificial intelligence models and any resulting software systems or products. Human-in-the-loop testing of artificial intelligence models and systems. Any confidential content, as deemed confidential by the contributing private sector person, shall be exempt from public disclosure under section 552(b)(3) of title 5, United States Code. Access to a contributing private sector person’s voluntarily provided confidential content, as deemed confidential by the contributing private sector person shall be limited to the private sector person and the Center. The Director may make aggregated, deidentified information available to contributing companies, the public, and other agencies, as the Director considers appropriate, in support of the purposes of this section. Nothing in this section shall be construed to provide the Director any enforcement authority that was not in effect on the day before the date of the enactment of the Future of Artificial Intelligence Innovation Act of 2026 . In this subsection: The term covered nation has the meaning given that term in section 4872 of title 10, United States Code. The term ownership, control, or influence of the government of a covered nation , with respect to an entity, means the government of a covered nation— has the power to direct or decide matters affecting the entity's management or operations in a manner that could— result in unauthorized access to classified information; or adversely affect performance of a contract or agreement requiring access to classified information; and exercises that power— directly or indirectly; through ownership of the entity's securities, by contractual arrangements, or other similar means; by the ability to control or influence the election or appointment of one or more members to the entity's governing board (such as the board of directors, board of managers, or board of trustees) or its equivalent; or prospectively (such as by not currently exercising the power, but could). An entity under the ownership, control, or influence of the government of a covered nation may not access any of the resources of the Center. The Director, working with the heads of the relevant Federal agencies, shall establish criteria to determine if any entity that seeks to utilize the resources of the Center is under the ownership, control, or influence of the government of a covered nation. .
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- 15 USC 278h–1
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Sec. 101
Center for Artificial Intelligence Standards and Innovation
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