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Code · STATUTE-COMPILATIONS · Making appropriations for Legislative Branch for the fiscal year ending September 30, 2022, and for other purposes · Sec. 10232

Sec. 10232. ARTIFICIAL INTELLIGENCE

285 words·~1 min read·/statute-compilations/comps-17006/sec-10232

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## SEC. 10232 ARTIFICIAL INTELLIGENCE ###
(a)In General **[**[42 U.S.C. 18937](/us/usc/t42/s18937)**]** The Director shall continue to support the development of artificial intelligence and data science, and carry out the activities of the National Artificial Intelligence Initiative Act of 2020 authorized in division E of the National Defense Authorization Act for Fiscal Year 2021 (Public Law 116-283), including through— ####
(1)expanding the Institute’s capabilities, including scientific staff and research infrastructure; ####
(2)supporting measurement research and development for advanced computer chips and hardware designed for artificial intelligence systems; ####
(3)supporting the development of technical standards and guidelines that promote safe and trustworthy artificial intelligence systems, such as enhancing the accuracy, explainability, privacy, reliability, robustness, safety, security, and mitigation of harmful bias in artificial intelligence systems; ####
(4)creating a framework for managing risks associated with artificial intelligence systems; and ####
(5)developing and publishing cybersecurity tools, encryption methods, and best practices for artificial intelligence and data science. ###
(b)AI Testbeds Section 22A of the National Institute of Standards and Technology Act (15 U.S.C. 278h-1) is amended— ####
(1)by redesignating subsection
(g)as subsection (h); and ####
(2)by inserting after subsection
(f)the following: > > ### “(g) Testbeds > > In coordination with other Federal agencies as appropriate, the private sector, and institutions of higher education (as such term is defined in section 101 of the Higher Education Act of 1965 (20 U.S.C. 1001)), the Director may establish testbeds, including in virtual environments, to support the development of robust and trustworthy artificial intelligence and machine learning systems, including testbeds that examine the vulnerabilities and conditions that may lead to failure in, malfunction of, or attacks on such systems.” > .
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