{"data":{"id":"us/15-u.s.c.-9204","jurisdiction":"us","citation":"15 U.S.C. § 9204","heading":"Generative adversarial network defined","body":"In this chapter, the term “generative adversarial network” means, with respect to artificial intelligence, the machine learning process of attempting to cause a generator artificial neural network (referred to in this section as the “generator” and a discriminator artificial neural network (referred to in this section as a “discriminator”) to compete against each other to become more accurate in their function and outputs, through which the generator and discriminator create a feedback loop, causing the generator to produce increasingly higher-quality artificial outputs and the discriminator to increasingly improve in detecting such artificial outputs.","path":["Title 15—COMMERCE AND TRADE","CHAPTER 117—IDENTIFYING OUTPUTS OF GENERATIVE ADVERSARIAL NETWORKS"],"source_url":"https://uscode.house.gov/download/releasepoints/us/pl/119/103/xml_usc15@119-103.zip","current_through":"Public Law 119-103 (09/02/2026)","vintage":"","retrieved_at":"2026-09-10T05:56:39Z","sha256":"4773969382b7b5cd49579b70d960f1ea7cddb83c12b04677f4ae9118bd54d028","source_id":"us","stale":true,"prev":"us/15-u.s.c.-9203","next":"us/15-u.s.c.-9301"},"notice":"GroundRules: Original legal text. Not legal advice."}