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US HR4355

US HR4355
IOGAN Act Identifying Outputs of Generative Adversarial Networks Act


summary

Introduced
09/17/2019
In Committee
09/25/2019
Crossed Over
12/10/2019
Passed
Dead
12/31/2020

Introduced Session

116th Congress

Bill Summary

IOGAN Act IOGAN Act Identifying Outputs of Generative Adversarial Networks Act Identifying Outputs of Generative Adversarial Networks Act (Sec. 3) This bill directs the National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST) to support research on manipulated or synthesized media, including the output of 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. (Sec. 4) 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. NIST shall conduct outreach to (1) receive input from private, public, and academic stakeholders on fundamental measurements and standards research necessary to examine the function and outputs of generative adversarial networks; and (2) consider the feasibility of an ongoing public and private sector engagement to develop voluntary standards for the function and outputs of such networks or other technologies that synthesize or manipulate content. (Sec. 5) The NSF and NIST must jointly submit to Congress a report containing (1) such agencies' findings with respect to the feasibility for research opportunities with the private sector, including digital media companies to detect the function and outputs of generative adversarial networks or other technologies that synthesize or manipulate content; and (2) any policy recommendations of those agencies that could facilitate and improve communication and coordination between the private sector, the NSF, and relevant federal agencies through the implementation of innovative approaches to detect digital content produced by such networks or such technologies.

AI Summary

This bill, the Identifying Outputs of Generative Adversarial Networks Act (IOGAN Act), directs the National Science Foundation (NSF) and the National Institute of Standards and Technology (NIST) to support research on manipulated or synthesized media, including the output of generative adversarial networks (GANs). GANs are software systems designed to generate artificial outputs, such as deepfakes, by competing against each other to become more accurate. The bill requires the NSF to support research on detecting the authenticity of digital content, including that generated by GANs, and the NIST to develop measurements and standards to examine the function and outputs of GANs and similar technologies. The bill also mandates a joint report from the NSF and NIST on the feasibility of public-private partnerships to detect content produced by such technologies.

Committee Categories

Business and Industry, Transportation and Infrastructure

Sponsors (10)

Last Action

Received in the Senate and Read twice and referred to the Committee on Commerce, Science, and Transportation. (on 12/10/2019)

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