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人工智能基金会模型透明度法案-英-14页.pdfVIP专享VIP免费优质

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..................................................................... (Original Signature of Member) 118TH CONGRESS 1ST SESSION H. R. ll To direct the Federal Trade Commission to establish standards for making publicly available information about the training data and algorithms used in artificial intelligence foundation models, and for other purposes. IN THE HOUSE OF REPRESENTATIVES Mr. BEYER introduced the following bill; which was referred to the Committee on llllllllllllll A BILL To direct the Federal Trade Commission to establish stand-ards for making publicly available information about the training data and algorithms used in artificial intel-ligence foundation models, and for other purposes. Be it enacted by the Senate and House of Representa-1tives of the United States of America in Congress assembled, 2SECTION 1. SHORT TITLE. 3This Act may be cited as the ‘‘AI Foundation Model 4Transparency Act of 2023’’. 5SEC. 2. FINDINGS. 6Congress finds the following: 7VerDate Nov 24 2008 10:47 Dec 21, 2023Jkt 000000PO 00000Frm 00001Fmt 6652Sfmt 6201C:\USERS\CBOSBORNE\APPDATA\ROAMING\SOFTQUAD\XMETAL\11.0\GEN\C\BEYER_December 21, 2023 (10:47 a.m.)G:\M\18\BEYER\BEYER_043.XMLg:\V\G\122123\G122123.007.xml (886939|27)2 (1) With the increase in public access to artifi-1cial intelligence, there has been an increase in law-2suits and public concerns about copyright infringe-3ment, including in court cases such as the following: 4(A) Doe 1 v. GitHub, Inc., No. 22-cv- 506823, 2023 WL 3449131, at *1 (N.D. Cal. 6May 11, 2023). 7(B) Amended Complaint, Getty Images, 8Inc. v. Stability AI, Ltd., No. 23-cv-00135 (D. 9Del. Mar. 29, 2023). 10(C) Andersen v. Stability AI Ltd., No. 23- 11cv-00201, 2023 WL 7132064, at *1 (N.D. Cal. 12Oct. 30, 2023). 13(2) Public use of foundation models has led to 14countless instances of the public being presented 15with inaccurate, imprecise, or biased information 16during inference, based on limited training data, lim-17ited model training mechanisms, or a lack of disclo-18sures about the training data composition or founda-19tion model training procedures, including in facial 20recognition technology usage, artificial intelligence 21inferences relating to health, artificial intelligence in-22ferences relating to loan granting and housing ap-23proval, and more. 24VerDate Nov 24 2008 10:47 Dec 21, 2023Jkt 000000PO 00000Frm 00002Fmt 6652Sfmt 6201C:\USERS\CBOSBORNE\APPDATA\ROAMING\SOFTQUAD\XMETAL\11.0\GEN\C\BEYER_December 21, 2023 (10:47 a.m.)G:\M\18\BEYER\BEYER_043.XMLg:\V\G\122123\G122123.007.xml (886939|27)3 (3) Transparency with respect to high-impact 1foundation models has become increasingly nec-2essary, including to assist copyright owners with en-3forcing their copyright protections and to promote 4consumer protection. 5(4) While not compromising the intellectual 6property rights of those who develop and deploy 7foundation models, users should be equipped with 8the information...

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人工智能基金会模型透明度法案-英-14页.pdf

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