Bill

United States: IOGAN Act

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.

  • Adopted
  • Not yet reviewed
  • English

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Details

Identity

Title
IOGAN Act
Original title
Not recorded
Instrument ID
us-116-s-2904
Type
Bill
Status
Adopted

Jurisdiction and publisher

Jurisdiction
United States
Publisher
Not recorded
Language
English

Dates and versions

Date
December 23, 2020
Versions
  • Enacted · December 23, 2020

Source

Retrieved
August 29, 2026
License
Unknown. Follow the publisher’s terms.
Access note
Not recorded

Full text

6,992 characters

Original text, English · 6,992 characters in 1 part

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