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United States · Bill · HR

H.R. 4355 (116th)

IOGAN Act

referredUnited States· United States Congress· EN

Introduced

17 September 2019

Last action

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Status

Received in the Senate and Read twice and referred to the Committee on Commerce, Science, and Transportation.

Sponsors

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Subjects

Discovery layer

Source updated

6 December 2025

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Summary

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 the science and ethics of material produced by generative adversarial networks and NIST must support research to accelerate the development of tools to examine the function and outputs of generative adversarial networks.

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Documents

11 official files

Referred in Senate (text)

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