Content provenance
An emerging approach to synthetic-media evidence in which signed, tamper-evident metadata is attached to media at creation so its origin can be checked rather than guessed. The Coalition for Content Provenance and Authenticity (C2PA) publishes the leading open specification, surfaced to users as Content Credentials. It is the longer-term answer to the deepfake-detection problem the Pikesville case relied on detectors to solve.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in AI Governance: Applied Mastery.
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.
An emerging approach to synthetic-media evidence in which signed, tamper-evident metadata is attached to media at creation so its origin can be checked rather than guessed. The Coalition for Content Provenance and Authenticity (C2PA) publishes the leading open specification, surfaced to users as Content Credentials. It is the longer-term answer to the deepfake-detection problem the Pikesville case relied on detectors to solve.
The practice of labeling a specific piece of agent-produced content with checkable information about its origin, review status, data basis, and confidence, distinct from disclosing that an agent is involved in a system at all.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Content Provenance · End-User Responsibility, Agentic AI Governance: Applied Mastery
- Incident forensics: reconstructing a failure from logs when memories disagree · Adversarial Governance, AI Governance: Applied Mastery
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.