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
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
Classification
- Policy areas
-
- Science, Technology, Communications
- Advanced technology and technological innovations
- Computers and information technology
- Congressional oversight
- Digital media
- Government studies and investigations
- Intergovernmental relations
- Photography and imaging
- Research administration and funding
- Research and development
- Research ethics
- Technology assessment
Source
- Retrieved
- August 29, 2026
- License
- Unknown. Follow the publisher’s terms.
- Access note
- Not recorded
Full text
6,992 characters
Outline (5 headings)
The outline comes from headings detected in the text, so it might miss some or include extras.