15 U.S.C. § 9201 — Findings
submitted 6 years ago by Pub. L. 116-258 to r/title-15-COMMERCE-AND-TRADE · 211 words · no verdicts yet
Congress identifies research gaps in detecting manipulated or synthesized digital content and in digital forensics. It says NSF’s existing artificial-intelligence work and future investment priorities should include generative-adversarial-network outputs and other techniques that may create similar content.
Congress finds: (1) research is lacking on tools that detect manipulated or synthesized videos, audio, and photos, including generative-adversarial-network output, and digital-forensics research is needed to identify, preserve, recover, and analyze digital-artifact provenance; (2) NSF’s support for artificial-intelligence research across computer and information science and engineering, cognitive science and psychology, economics and game theory, control theory, linguistics, mathematics, and philosophy is improving understanding of how new technology shapes United States society and the economy; (3) NSF’s “10 Big Ideas for NSF Future Investment,” including “Harnessing the Data Revolution” and “Future of Work at the Human-Technology Frontier,” includes artificial intelligence as a critical component; (4) generative-adversarial-network outputs should be included in that research because of their serious possible national-security and societal effects; and (5) such networks probably will not be the only artificial-intelligence or machine-learning technique able to create convincing deepfakes, and future techniques may create similar outputs.
Congress finds the following:
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.
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.
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.
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.
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.
Source credit: (Pub. L. 116–258, § 2, Dec. 23, 2020, 134 Stat. 1150.)
- 2020Enacted · Pub. L. 116-258 · 134 Stat. 1150
A history note hasn’t been published yet. The record shows enactment by Pub. L. 116-258 on 2020-12-23.
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