In one paragraph
The IOGAN Act directs the National Science Foundation to support research on manipulated or synthesized content and information authenticity, including digital forensic tools, watermarking of generated media, and public awareness of deepfakes (sec. 3). It directs NIST to support measurement and standards research to speed development of tools that examine the outputs of generative adversarial networks (sec. 4). NSF and NIST must jointly report to Congress within one year on the feasibility of public-private partnerships to detect manipulated or synthesized content (sec. 5). Section 6 defines generative adversarial network.
Plain-English summary, written with AI assistance. The official text controls.
What it means for business
Funds detection and watermarking research rather than regulating companies; digital media firms may be engaged as research partners.
Key provisions
- NSF research on detecting manipulated or synthesized content (sec. 3)
- Research on watermarking systems for generated media (sec. 3(2))
- NIST measurement and standards work on generative adversarial network outputs (sec. 4)
- Joint NSF-NIST report on public-private partnerships to detect deepfakes (sec. 5)
- Definition of generative adversarial network (sec. 6)
Latest legislative action
Dec 23, 2020. Signed by President December 23, 2020. Became Public Law No: 116-258.
Sponsors
| Name | Role | District |
|---|---|---|
| Catherine Cortez Masto D | Sponsor | SD-NV |
| Jerry Moran R | Sponsor | HD-KS-1 |
Topics and industries
Related topics
Affected industries
This page is general information, not legal advice. Summaries are AI-assisted and may contain errors; read the statute for the controlling text and talk to a lawyer about your situation. Full disclaimer · Report an error