Identifying Outputs of Generative Adversarial Networks Act

Floor Speech

Mr. Speaker, I rise in support of H.R. 4355, the Identifying Outputs of Generative Adversarial Networks Act introduced by Representative Anthony Gonzalez. This bill addresses the underlying technologies for digital content commonly referred to as ``deepfakes.'' This technology uses machine learning to manipulate videos and other digital content to produce misleading and false products.

These technologies are becoming more sophisticated and, in the wrong hands, present a serious security threat. As we know, bad actors are already using disinformation to disrupt civil society and try to sow divisions among Americans.

H.R. 4355 supports the fundamental research necessary to better understand the underlying technology, to develop tools to identify manipulated content, and to better understand how humans interact with this generated content.

The bill also tasks the National Institute of Standards and Technology with bringing together the private sector and government agencies to discuss how to advance innovation in this area responsibly.

I applaud Mr. Gonzalez' bipartisan work on this bill and his leadership on the issue of technology and security.

I thank the chairwoman and her staff for moving H.R. 4355 forward. There is a lot of fundamental research that needs to be done to better understand the technologies driving deepfakes and their impact on society. H.R. 4355 will help support that research.

Mr. Speaker, I urge my colleagues to support the bill, and I yield back the balance of my time.

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