Latent disclosure

How the laws define this

Both statutory formulations agree that latent disclosures consist of non-visible or invisible, machine-readable data embedded directly inside AI-generated content to enable the verification of its origin. Each description emphasizes that this hidden data communicates basic details identifying the output, specifically citing the provider's name and the underlying system version. The primary distinction between the two instruments lies in how they frame the disclosure's durability, technical scope, and specific data points. Under California SB 942 — California AI Transparency Act, the definition focuses on metadata designed to persist through sharing and common transformations to facilitate programmatic verification of synthetic origin, explicitly referencing timestamps and unique IDs. In contrast, the formulation under the California AI Transparency Act defines the disclosure as permanent provenance data intended to verify content authenticity and origin, citing a creation date instead of timestamps or unique IDs.

Synthesised from the 2 statutory definitions below. Each one is quoted in full, with its source.