Telecom and broadband
2 evidence matches
Impact 95% Confidence 86%
Science, Technology, Communications
IOGAN Act Became Public Law No: 116-258. Science, Technology, Communications
S 2904 - 116IOGAN Act
Became Public Law No: 116-258.
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Summary
49 Public Law Jan 19, 2021
Identifying Outputs of Generative Adversarial Networks Act or the IOGAN Act This bill directs the National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST) to support research on generative adversarial networks. A generative adversarial network is a software system designed to be trained with authentic inputs (e.g., photographs) to generate similar, but artificial, outputs (e.g., deepfakes). Specifically, the NSF must support research on manipulated or synthesized content and information authenticity and the NIST must support research for the development of measurements and standards necessary to accelerate the development of the technological tools to examine the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content.
53 Passed House Dec 15, 2020
Identifying Outputs of Generative Adversarial Networks Act or the IOGAN Act This bill directs the National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST) to support research on generative adversarial networks. A generative adversarial network is a software system designed to be trained with authentic inputs (e.g., photographs) to generate similar, but artificial, outputs (e.g., deepfakes). Specifically, the NSF must support research on manipulated or synthesized content and information authenticity and the NIST must support research for the development of measurements and standards necessary to accelerate the development of the technological tools to examine the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content.
55 Passed Senate Nov 23, 2020
Identifying Outputs of Generative Adversarial Networks Act or the IOGAN Act This bill directs the National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST) to support research on generative adversarial networks. A generative adversarial network is a software system designed to be trained with authentic inputs (e.g., photographs) to generate similar, but artificial, outputs (e.g., deepfakes). Specifically, the NSF must support research on manipulated or synthesized content and information authenticity and the NIST must support research for the development of measurements and standards necessary to accelerate the development of the technological tools to examine the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content.
25 Reported to Senate Nov 20, 2020
Identifying Outputs of Generative Adversarial Networks Act or the IOGAN Act This bill directs the National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST) to support research on generative adversarial networks. A generative adversarial network is a software system designed to be trained with authentic inputs (e.g., photographs) to generate similar, but artificial, outputs (e.g., deepfakes). Specifically, the NSF must support research on manipulated or synthesized content and information authenticity and the NIST must support research for the development of measurements and standards necessary to accelerate the development of the technological tools to examine the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content.
00 Introduced in Senate Feb 14, 2020
Identifying Outputs of Generative Adversarial Networks Act or the IOGAN Act This bill directs the National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST) to support research on generative adversarial networks. A generative adversarial network is a software system designed to be trained with authentic inputs (e.g., photographs) to generate similar, but artificial, outputs (e.g., deepfakes). Specifically, the NSF must support research on manipulated or synthesized content and information authenticity and NIST must support research for the development of measurements and standards necessary to accelerate the development of the technological tools to examine the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content.
Sponsors
![Sen. Cortez Masto, Catherine [D-NV]](https://www.congress.gov/img/member/c001113_200.jpg)
Website
N/A
Phone
N/A
Office
N/A
Timeline
Dec 23, 2020
Signed by President.
Dec 23, 2020
Signed by President.
Dec 23, 2020
Became Public Law No: 116-258.
Dec 23, 2020
Became Public Law No: 116-258.
Dec 11, 2020
Presented to President.
Dec 11, 2020
Presented to President.
Dec 8, 2020
Considered by unanimous consent. (consideration: CR H7022-7023)
Dec 8, 2020
Mr. Tonko asked unanimous consent to take from the Speaker's table and consider.
Dec 8, 2020
Passed/agreed to in House: On passage Passed without objection.
Dec 8, 2020
On passage Passed without objection. (text: CR H7022-7023)
Dec 8, 2020
Motion to reconsider laid on the table Agreed to without objection.
Nov 19, 2020
Message on Senate action sent to the House.
Nov 19, 2020
Received in the House.
Nov 19, 2020
Held at the desk.
Nov 18, 2020
Passed/agreed to in Senate: Passed Senate with an amendment by Unanimous Consent.(consideration: CR S7082-7083; text of amendment in the nature of a substitute: CR S7082-7083)
Nov 18, 2020
Passed Senate with an amendment by Unanimous Consent. (consideration: CR S7082-7083; text of amendment in the nature of a substitute: CR S7082-7083)
Nov 9, 2020
Committee on Commerce, Science, and Transportation. Reported by Senator Wicker with an amendment in the nature of a substitute. With written report No. 116-289.
Nov 9, 2020
Committee on Commerce, Science, and Transportation. Reported by Senator Wicker with an amendment in the nature of a substitute. With written report No. 116-289.
Nov 9, 2020
Placed on Senate Legislative Calendar under General Orders. Calendar No. 580.
May 20, 2020
Committee on Commerce, Science, and Transportation. Ordered to be reported with an amendment in the nature of a substitute favorably.
Nov 20, 2019
Introduced in Senate
Nov 20, 2019
Read twice and referred to the Committee on Commerce, Science, and Transportation.
House Votes
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Amendments
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