Title 15 — Commerce and Trade
Chapter 117 — Identifying Outputs of Generative Adversarial Networks
§ 9204. Generative adversarial network defined
Statutory text
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.
Footnotes
- 1 So in original. Probably should be followed by a closing parenthesis.
Legislative history
Reconstructed from this section’s Code source credit and amendment notes, resolved against the local Statutes at Large. Editorial notes are evidence, not the law that made the change.
Identifying Outputs of Generative Adversarial Networks Act
Pub. L. 116–258 § 6 · 134 Stat. 1150
Enacted · 15 U.S.C. § 9204
(Pub. L. 116–258, § 6, Dec. 23, 2020, 134 Stat. 1152.)
Source evidence
Code source credit
(Pub. L. 116–258, § 6, Dec. 23, 2020, 134 Stat. 1152.)Enacted provision · exact public law section
SEC. 6. GENERATIVE ADVERSARIAL NETWORK DEFINED. In this Act, 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 paragraph as the “generator” and a discriminator artificial neural network (referred to in this paragraph 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.
1 of 1 references resolved to an enrolled provision
Editorial Notes
References in Text
This chapter, referred to in text, was in the original “this Act”, meaning Pub. L. 116–258, , 134 Stat. 1150, known as the Identifying Outputs of Generative Adversarial Networks Act and also as the IOGAN Act, which is classified principally to this chapter. For complete classification of this Act to the Code, see Short Title note set out under section 9201 of this title and Tables.
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.