Requires the owner, licensee or operator of a generative artificial intelligence system to conspicuously display a notice on the system's user interface that is reasonably calculated to consistently apprise the user that the outputs of the generative artificial intelligence system may be inaccurate.
Summary
A03411 would add a new section to New York’s General Business Law requiring owners, licensees, or operators of generative artificial intelligence systems to display a conspicuous warning on the system’s user interface. The warning must be reasonably calculated to inform users that the system’s outputs may be inaccurate and/or inappropriate. The bill defines both “generative artificial intelligence system” and “artificial intelligence” broadly, covering systems that generate synthetic content such as text, images, video, and audio, and including technologies such as machine learning, large language models, natural language processing, and computer vision.
The bill also creates a civil enforcement mechanism. A covered entity that fails to provide the required warning would be subject to a civil penalty of up to $1,000 per violation, with each user who does not receive the warning treated as a separate violation. The act would take effect 90 days after becoming law. In practical terms, the measure would impose a disclosure requirement on AI product interfaces used in New York and could require developers, vendors, and platform operators to update user-facing design and compliance practices.
Impact
This bill would amend the General Business Law by creating a new consumer-protection-style disclosure requirement specifically for generative AI systems. It would not regulate the underlying model outputs directly, but it would require a warning on the user interface and authorize civil penalties for noncompliance. The affected parties are owners, licensees, and operators of generative AI systems offering products or services to users in New York, including providers of chatbots, image generators, and similar AI tools.
Sentiment
The available voting history suggests strong bipartisan support and little opposition. The bill advanced unanimously through the Assembly Science and Technology Committee, the Assembly Codes Committee, and the Assembly Rules Committee, then passed the Assembly floor by a wide margin and the Senate floor with only two nays. That pattern indicates broad agreement that users should be warned about the limits and possible unreliability of generative AI outputs.
Contention
The main policy issue appears to be whether a mandatory warning is an appropriate and effective way to address AI reliability and consumer awareness. Supporters likely view the bill as a modest transparency measure that helps prevent overreliance on AI-generated content, while any opposition would likely center on compliance burdens, interface design requirements, and the possibility that a generic warning may be overinclusive or of limited practical value. The final votes show that any such concerns were not enough to generate significant legislative resistance.
Same As
Requires the owner, licensee or operator of a generative artificial intelligence system to conspicuously display a notice on the system's user interface that is reasonably calculated to consistently apprise the user that the outputs of the generative artificial intelligence system may be inaccurate.
Requires the owner, licensee or operator of a generative artificial intelligence system to conspicuously display a notice on the system's user interface that is reasonably calculated to consistently apprise the user that the outputs of the generative artificial intelligence system may be inaccurate.
Establishes the artificial intelligence training data transparency act requiring developers of generative artificial intelligence models or services to post on the developer's website information regarding the data used by the developer to train the generative artificial intelligence model or service, including a high-level summary of the datasets used in the development of such system or service.
Establishes the artificial intelligence training data transparency act requiring developers of generative artificial intelligence models or services to post on the developer's website information regarding the data used by the developer to train the generative artificial intelligence model or service, including a high-level summary of the datasets used in the development of such system or service.
Enacts the "New York artificial intelligence transparency for journalism act"; requires developers of generative artificial intelligence systems or services to post certain information on the developer's website regarding video, audio, text and data from a covered publication used to train the generative artificial intelligence system or service; allows journalism providers to bring an action for damages or injunctive relief against developers.
Enacts the "New York artificial intelligence transparency for journalism act"; requires developers of generative artificial intelligence systems or services to post certain information on the developer's website regarding video, audio, text and data from a covered publication used to train the generative artificial intelligence system or service; allows journalism providers to bring an action for damages or injunctive relief against developers.
Requires certification of filings produced using generative artificial intelligence; requires the brief of an appellant to contain a disclosure of the use of generative artificial intelligence in the drafting of the brief and certification that the content therein was reviewed and verified by a human.
Requires certification of filings produced using generative artificial intelligence; requires the brief of an appellant to contain a disclosure of the use of generative artificial intelligence in the drafting of the brief and certification that the content therein was reviewed and verified by a human.