SB2904U.S. Congress2019 sessionPassed / Enacted
IOGAN Act Identifying Outputs of Generative Adversarial Networks Act
Plain-language summary
Directs the National Science Foundation and National Institute of Standards and Technology to fund research on generative adversarial networks used to create deepfakes. Supports work on detecting manipulated or synthesized content and developing measurement standards for such tools.
Summary generated by AI from the official bill text — may contain errors.
History
Nov 20, 2019
SRead twice and referred to the Committee on Commerce, Science, and Transportation.
May 20, 2020
SCommittee on Commerce, Science, and Transportation. Ordered to be reported with an amendment in the nature of a substitute favorably.
Nov 9, 2020
SCommittee 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
SPlaced on Senate Legislative Calendar under General Orders. Calendar No. 580.
Nov 18, 2020
SPassed Senate with an amendment by Unanimous Consent. (consideration: CR S7082-7083; text of amendment in the nature of a substitute: CR S7082-7083)
Nov 19, 2020
SMessage on Senate action sent to the House.
Nov 19, 2020
HReceived in the House.
Nov 19, 2020
HHeld at the desk.
Dec 8, 2020
HMr. Tonko asked unanimous consent to take from the Speaker's table and consider.
Dec 8, 2020
HConsidered by unanimous consent. (consideration: CR H7022-7023)
Dec 8, 2020
HOn passage Passed without objection. (text: CR H7022-7023)
Dec 8, 2020
HMotion to reconsider laid on the table Agreed to without objection.
Dec 11, 2020
SPresented to President.
Dec 23, 2020
SSigned by President.
Dec 23, 2020
SBecame Public Law No: 116-258. (TXT | PDF)
Progress
Introduced
Engrossed
Enrolled
Passed
Signed into lawDec 23, 2020
Sponsors
CM
Sen. Catherine Cortez Masto (D)Prime sponsor
JM
Sen. Jerry Moran (R)
Sources
Always verify against the official source. Summaries are AI-generated and may contain errors.