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Main Subject: Science, Technology, Communications

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.

Library of Congress Actions

President
Dec. 23 2020	Became Public Law No: 116-258. Signed by President.
Dec. 11 2020	Presented to President.

BecameLaw
Dec. 23 2020	Became Public Law No: 116-258. Signed by President.

Floor
Dec. 08 2020	Passed/agreed to in House: On passage Passed without objection.
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)

Committee
Nov. 09 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.

House floor actions Actions

Floor
Dec. 11 2020	Presented to President.
Dec. 08 2020	Motion to reconsider laid on the table Agreed to without objection. On passage Passed without objection. (text: CR H7022-7023) Mr. Tonko asked unanimous consent to take from the Speaker's table and consider. Considered by unanimous consent. (consideration: CR H7022-7023)
Nov. 19 2020	Held at the desk. Received in the House.

Senate Actions

Floor
Nov. 19 2020	Message on Senate action sent to the House.
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)

Calendars
Nov. 09 2020	Placed on Senate Legislative Calendar under General Orders. Calendar No. 580.

Committee
Nov. 09 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.
May. 20 2020	Committee on Commerce, Science, and Transportation. Ordered to be reported with an amendment in the nature of a substitute favorably.

Senate bill S2904-116

A bill to direct the Director of the National Science Foundation to support research on the outputs that may be generated by generative adversarial networks, otherwise known as deepfakes, and other comparable techniques that may be developed in the future

Senate bill S2904-116

A bill to direct the Director of the National Science Foundation to support research on the outputs that may be generated by generative adversarial networks, otherwise known as deepfakes, and other comparable techniques that may be developed in the future

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