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Claim

A statement within a manifest describing an event in the content's history, such as "generated by [named AI model]" or "edited using [named tool]." Multiple claims chain together, each referencing prior versions of the file as "ingredients," to form a full history rather than a single flattened final state.

Defined in 2 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in AI Data Governance: The Data Chair.

How each discipline defines it

The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.

AI Data Governance: The Data Chair

A statement within a manifest describing an event in the content's history, such as "generated by [named AI model]" or "edited using [named tool]." Multiple claims chain together, each referencing prior versions of the file as "ingredients," to form a full history rather than a single flattened final state.

AI Governance: Applied Mastery

A firm assertion backed by stated evidence that could in principle be checked or reproduced, for example a named benchmark score under a named condition. The parts of a card an operator can actually use, once traced to evidence.

AI Governance: Applied Mastery

A load-bearing promise a file makes about a system, stated as a plain sentence that could be true or false, with the adjectives and reassurance stripped away. Claims can be tested; adjectives cannot.

AI Governance: Applied Mastery

A governance decision your organization actually made, stated in plain language (for example, "we classified this system as high-risk"). In a dossier, every claim must resolve to real evidence or be disclosed as a gap.

Where it is taught

The exact lessons this term appears in. The first 7 topics of every program are free with a free account.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.