HR 4355 · 116th Congress · Science, Technology, Communications

IOGAN Act

Introduced 2019-09-17· Sponsored by Rep. Gonzalez, Anthony [R-OH-16]· House

Bill Progress

Introduced
Committee
House Vote
4
Senate
5
Enacted
Latest: Received in the Senate and Read twice and referred to the Committee on Commerce, Science, and Transportation.(2019-12-10)

Plain Language Summary

[AI summary unavailable — showing source text] 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.…

Summarized by Claude AI · Non-partisan · For informational purposes only

CBO Cost Estimate

Congressional Budget Office

H.R. 4355, Identifying Outputs of Generative Adversarial Networks Act

Oct 30, 2019

As ordered reported by the House Committee on Science, Space, and Technology on September 25, 2019

Full CBO report ↗

Official non-partisan budget analysis by the Congressional Budget Office

Cosponsors (9)

6 Democrats3 Republicans