United States 116th Congress Status: Passed House 1 R cosponsors

HR 4355 — IOGAN Act

Last action — Received in the Senate and Read twice and referred to the Committee on Commerce, Science, and Transportation.

  1. ✓
    Introduced
  2. ✓
    In Committee
  3. 3
    Passed House
  4. 4
    Passed Senate
  5. 5
    To Executive
  6. 6
    Enacted

This bill died with 116th Congress. It reached “Passed House” and never advanced before the session ended, so it can no longer move — a new version would have to be reintroduced in the current session.

This bill is no longer active — its legislative session has ended, so there are no live odds of enactment. It would have to be reintroduced in the current session to move again.

Summary

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.

Bill Text

What changed in the latest version

6 added · 1 removed

Plain-language change summary

The text shows that the bill HR 4355 was referred to the Senate and specifically to the Committee on Commerce, Science, and Transportation on December 10, 2019. Additionally, the status indicating it was engrossed in the House has been removed. This change updates the bill's legislative path as it moves from the House to the Senate committee for further consideration.

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4355 Engrossed in House (EH)] <DOC> 116th CONGRESS 1st Session H.
4355 Referred in Senate (RFS)] <DOC> 116th CONGRESS 1st Session H.
4355 _______________________________________________________________________ AN ACT 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, and for other purposes.
4355 _______________________________________________________________________ IN THE SENATE OF THE UNITED STATES December 10, 2019 Received;
read twice and referred to the Committee on Commerce, Science, and Transportation _______________________________________________________________________ AN ACT 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, and for other purposes.
Clerk.
CHERYL L.
116th CONGRESS 1st Session H.
JOHNSON, Clerk.
R.
4355 _______________________________________________________________________ AN ACT 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, and for other purposes.
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Action History

  1. Introduced in House

  2. Introduced in House

  3. Referred to the House Committee on Science, Space, and Technology.

  4. Committee Consideration and Mark-up Session Held.

  5. Ordered to be Reported (Amended) by Voice Vote.

  6. Reported (Amended) by the Committee on Science, Space, and Technology. H. Rept. 116-268.

  7. Reported (Amended) by the Committee on Science, Space, and Technology. H. Rept. 116-268.

  8. Placed on the Union Calendar, Calendar No. 213.

  9. Ms. Johnson (TX) moved to suspend the rules and pass the bill, as amended.

  10. Considered under suspension of the rules. (consideration: CR H9363-9364)

  11. DEBATE - The House proceeded with forty minutes of debate on H.R. 4355.

  12. Passed/agreed to in House: On motion to suspend the rules and pass the bill, as amended Agreed to by voice vote.(text: CR H9363-9364)

  13. On motion to suspend the rules and pass the bill, as amended Agreed to by voice vote. (text: CR H9363-9364)

  14. Motion to reconsider laid on the table Agreed to without objection.

  15. Received in the Senate and Read twice and referred to the Committee on Commerce, Science, and Transportation.

Sponsors

Sponsorship breakdown

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1 sponsors · 0 co-sponsors · 546 not signed on

Sponsors (1)

Co-sponsors (0)

None.

Not signed on (546)

546 members have not signed on to this bill.

Show all 546 →

"Not signed on" means a member has not sponsored or co-sponsored this bill — it does not imply opposition. Members flagged Voted No have a recorded No vote on this bill.

Whip count is in markup. Polling the chamber and every recorded vote this session. Only the first open is slow. It’s instant for you after this. Calling the roll · Tallying · Engrossing

Subjects

technology
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Frequently asked questions

What does HR 4355 do?
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.
Who sponsors HR 4355?
HR 4355 is sponsored by Gonzalez, Anthony (Republican).
What is the current status of HR 4355?
This bill died with 116th Congress. It reached “Passed House” and never advanced before the session ended, so it can no longer move — a new version would have to be reintroduced in the current session.
Where can I track HR 4355?
Track HR 4355 free on One Click Politics — get push/email alerts when it moves.

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