Generative Artificial Intelligence System
An AI system, often a foundation model, capable of producing synthetic digital content like audio, visual, or text.
How the laws define this
Both regulatory instruments establish that a generative artificial intelligence system is an AI capable of producing or generating synthetic content, explicitly spanning media types like text and audio. However, they diverge in how they specify the system's operational nature and scope. An Act Concerning Artificial Intelligence (Connecticut SB 2) characterizes these systems broadly as a type of AI system, often a foundation model, that produces synthetic digital content across audio, visual, and text domains. Conversely, AN ACT Relating to informing users when content is developed or modified by artificial intelligence; and adding a new chapter to Title 19 RCW requires the generated output to emulate the structure and characteristics of its training data. This Title 19 RCW definition also explicitly notes that it directly targets technology that produces realistic and potentially deceptive content, a framing absent from Connecticut SB 2.
Synthesised from the 2 statutory definitions below. Each one is quoted in full, with its source.
How jurisdictions differ
What is distinctive in each definition, binding law in force first.
| Jurisdiction | Instrument | Status | What is distinctive |
|---|---|---|---|
| Washington, United States | AN ACT Relating to informing users when content is developed or modified by artificial intelligence; and adding a new chapter to Title 19 RCW. | Awaiting Entry | This definition narrows to content that is derived and emulates the structure and characteristics of training data, explicitly targeting realistic and potentially deceptive outputs. |
| Connecticut, United States | An Act Concerning Artificial Intelligence (Connecticut SB 2) | Withdrawn | This definition adds no distinctive limits or expansions, relying on the plain one-line version with minor examples of content domains. |
What it triggers
- In Washington, covered generative AI systems must include provenance data, detection tools, and clear disclosures.
- Under Connecticut SB 2, generative artificial intelligence systems would have been subject to a regulatory framework for high-risk systems and consumer protection.source
Definitions (2)
A type of artificial intelligence system, often a foundation model, capable of producing synthetic digital content, including but not limited to audio, visual, and text domains.
A generative artificial intelligence system is an AI capable of generating derived synthetic content, including text, images, video, and audio, that emulates the structure and characteristics of its training data. This definition directly targets the type of AI that can produce realistic and potentially deceptive content.
Questions and answers
What transparency requirements apply to generative AI systems in Washington?
Washington HB 1170 requires covered generative AI systems to provide provenance data, detection tools, and clear disclosures. This applies to systems generating derived synthetic content like text, images, video, and audio.
What would Connecticut SB 2 have done for generative AI systems?
Connecticut SB 2 aimed to regulate generative artificial intelligence systems under a framework for high-risk systems and consumer protection. It was withdrawn before passage.
How do the definitions of generative AI systems differ between Washington and Connecticut?
Washington's definition emphasizes emulation of training data for potentially deceptive content, while Connecticut's uses a general description of producing synthetic content in various domains.
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