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H.R. 4355 · 116th Congress

IOGAN Act

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IntroducedPassed one chamberPassed both chambersBecame law (gold)Resolution agreed to (full, dark)Failed or vetoed (gray)

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Passed the House without a recorded vote, then expired. It passed by voice vote or unanimous consent, which don't record how each member voted, but didn't become law before the 116th Congress ended.

AGR GonzalezSponsor
9 cosponsors · 6 D, 3 R
JBR Baird KHD Hill HSD Stevens MSD Sherrill JGR González-Colón JWD Wexton ESD Slotkin FLR Lucas ASD Spanberger

3 signed on when it was introduced; the rest joined later. Cosponsors who withdrew aren't shown.

  1. House Introduced Sep 17, 2019
  2. House Passed Dec 9, 2019

Identifying Outputs of Generative Adversarial Networks Act or the IOGAN Act

What it does: CRS summary · Passed House · Dec 9, 2019

Identifying Outputs of Generative Adversarial Networks Act or the IOGAN Act

(Sec. 3) This bill directs the National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST) to support research on manipulated or synthesized media, including the output of 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.

(Sec. 4) 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.

NIST shall conduct outreach to (1) receive input from private, public, and academic stakeholders on fundamental measurements and standards research necessary to examine the function and outputs of generative adversarial networks; and (2) consider the feasibility of an ongoing public and private sector engagement to develop voluntary standards for the function and outputs of such networks or other technologies that synthesize or manipulate content.

(Sec. 5) The NSF and NIST must jointly submit to Congress a report containing (1) such agencies' findings with respect to the feasibility for research opportunities with the private sector, including digital media companies to detect the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content; and (2) any policy recommendations of those agencies that could facilitate and improve communication and coordination between the private sector, the NSF, and relevant federal agencies through the implementation of innovative approaches to detect digital content produced by such networks or such technologies.

Written by the nonpartisan Congressional Research Service. All summary versions on Congress.gov

About this bill and sources

Official title: IOGAN Act

Also known as: Identifying Outputs of Generative Adversarial Networks Act

Latest action (Dec 10, 2019): Received in the Senate and Read twice and referred to the Committee on Commerce, Science, and Transportation.

Policy area: Science, Technology, Communications · Origin: House · Introduced: Sep 17, 2019

Official page on Congress.gov · Bill text (GovInfo) · Status record (XML)

  1. House Introduced Sep 17, 2019
  2. House Passed Dec 9, 2019

No recorded floor vote found.