IOGAN Act became law 399 days after introduction, with one cosponsor, a Republican
Written by the Congressional Research Service [2]. 114 words.
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.
- Committees
- Senate Commerce, Science, and Transportation Committee
- Policy area
- Science, Technology, Communications: 52 of 2,109 bills became law, 113th–118th (2.5%)
- Sponsor
- 6 of 421 bills enacted since 2013
- Text versions
- 5, from enrolled bill to public law · 1,155 words
- Subjects
- Advanced technology and technological innovationsComputers and information technologyCongressional oversightDigital mediaGovernment studies and investigationsIntergovernmental relations +5 more
- Latest action
- Dec 23, 2020: Became Public Law No: 116-258.
- Records
- Congress.gov · Bill text
Each bill appears once, under its strongest link. 1 in all.
Related, per CRS or House · 1
- 116th H.R. 4355 IOGAN Act R · Passed one chamber