15 USC § 9204
Generative adversarial network defined
through Pub. L. 116-344, except Pub. Ls. 116-260 and 116-283
USC

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" 1 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.

References in Text

This section, referred to in text, was in the original "this paragraph", and was translated as reading "this section", meaning section 6 of Pub. L. 116–258, to reflect the probable intent of Congress.

1 So in original. Probably should be followed by a closing parenthesis.

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