Indemnification
A contractual commitment by one party to cover the other's losses arising from a specified category of harm; effective against provenance risk only when its scope specifically names provenance misrepresentation or undisclosed AI use, not merely general intellectual property claims.
Defined in 3 GAGE programs, which carry 3 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.
A contractual commitment by one party to cover the other's losses arising from a specified category of harm; effective against provenance risk only when its scope specifically names provenance misrepresentation or undisclosed AI use, not merely general intellectual property claims.
A contractual promise by a vendor to cover certain legal claims (for example, training-data copyright claims) arising from use of its product. Real indemnification has caps, carve-outs, and conditions; open-source adoption typically comes with none.
A contract term under which one party agrees to cover another's losses from specified claims, for example a vendor covering a deployer's losses from a third-party training-data claim. Allocates who pays; does not make the underlying risk disappear.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- The vendor's black box: forcing provenance answers from a supplier who has none · Poison, Leaks, and the Adversary, AI Data Governance: The Data Chair
- GPAI upstream: what your foundation-model vendor owes you and what you must verify yourself · The EU AI Act: The Executive Map, AI Governance: Applied Mastery
- Ecosystem and Open-Source Strategy · Technology, Platforms and Vendors, Business AI Transformation
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.