15 U.S.C. § 9201: Findings

Summary

Congress says we need more research to find and check photos, videos, and audio that have been altered or made by AI, including generative adversarial networks (GANs). It also says we need better digital forensics to track and preserve where digital files come from. The National Science Foundation supports AI work across many fields and has identified 10 Big Ideas for future work, including "Harnessing the Data Revolution" and the "Future of Work at the Human-Technology Frontier," with AI as a key part. Outputs from GANs should be included in that research because they could have serious national security and social effects. GANs are not likely to be the only way to make believable deepfakes; other methods may appear.

Title 15, §9201

Commerce and Trade, Source: USLM XML via OLRC

Congress finds the following:

(1)Gaps currently exist on the underlying research needed to develop tools that detect videos, audio files, or photos that have manipulated or synthesized content, including those generated by generative adversarial networks. Research on digital forensics is also needed to identify, preserve, recover, and analyze the provenance of digital artifacts.

(2)The National Science Foundation’s focus to support research in artificial intelligence through computer and information science and engineering, cognitive science and psychology, economics and game theory, control theory, linguistics, mathematics, and philosophy, is building a better understanding of how new technologies are shaping the society and economy of the United States.

(3)The National Science Foundation has identified the “10 Big Ideas for NSF Future Investment” including “Harnessing the Data Revolution” and the “Future of Work at the Human-Technology Frontier”, with artificial intelligence is a critical component.

(4)The outputs generated by generative adversarial networks should be included under the umbrella of research described in paragraph (3) given the grave national security and societal impact potential of such networks.

(5)Generative adversarial networks are not likely to be utilized as the sole technique of artificial intelligence or machine learning capable of creating credible deepfakes. Other techniques may be developed in the future to produce similar outputs.

Statutory Notes and Related Subsidiaries

Short Title

Pub. L. 116–258, § 1, Dec. 23, 2020, 134 Stat. 1150, provided that: “This Act [enacting this chapter] may be cited as the ‘Identifying Outputs of Generative Adversarial Networks Act’ or the ‘IOGAN Act’.”

§9201 Findings

Summary

Title 15, §9201

Notes & Related Subsidiaries

Statutory Notes and Related Subsidiaries

Short Title

Citations & Metadata