Signed, tamper-evident information about where a piece of content came from and how it was edited, bound to the asset. The C2PA specification packages it as a manifest of assertions, a claim and a claim signature 1; NIST treats provenance tracking as one approach to synthetic-content transparency 2.
- Developed in
- ch. 20, Deepfakes and synthetic media
- Chapters
- ch. 18, EU AI Act · ch. 20, Existing Law
- Contrast with
- Watermarking · Data provenance
- Source
- 2 numbered references, listed below
Where it is used
4 chapters of the Body of Knowledge use the term. Each link opens the first section that does.
Mentions as a table
| Chapter | Mentions | Cross-referenced |
|---|---|---|
| 00 Preface | 0 | No |
| 01 Definition | 0 | No |
| 02 Why Now | 0 | No |
| 03 Values & Principles | 0 | No |
| 04 The Stack | 0 | No |
| 05 Patterns | 0 | No |
| 06 The Role | 0 | No |
| 07 Maturity Model | 0 | No |
| 08 Regulatory Map | 3 | No |
| 10 Reading List | 0 | No |
| 11 AI Defined | 2 | No |
| 12 Governance Program | 0 | No |
| 13 Risk Management | 0 | No |
| 14 Development | 0 | No |
| 15 Deployment | 0 | No |
| 16 Fairness & XAI | 0 | No |
| 17 Incidents | 0 | No |
| 18 EU AI Act | 0 | Yes |
| 19 Privacy & AI | 0 | No |
| 20 Existing Law | 0 | Yes |
| 21 AI Laws Worldwide | 1 | No |
| 22 Principles & Standards | 1 | No |
| 23 AI Agents | 0 | No |
- 08 · Regulatory Map EU AI Act, post-Omnibus 3 mentions
- 11 · AI Defined Responsible-AI principle sets, engineered 2 mentions
- 21 · AI Laws Worldwide Singapore: model frameworks and AI Verify 1 mention
- 22 · Principles & Standards OECD AI Principles 1 mention
Related terms
Neighbourhood as a table
| Family | Item | Relation |
|---|---|---|
| Related terms | Deepfake | Related |
| Related terms | Transparency | Related |
| Contrast with | Data provenance | Contrast |
| Contrast with | Watermarking | Contrast |
Sources
- [1] Content Credentials: C2PA Technical Specification, version 2.2 (a manifest of assertions, a claim and a claim signature bound to an asset). Coalition for Content Provenance and Authenticity (C2PA). 2025-05. https://spec.c2pa.org/specifications/specifications/2.2/specs/C2PA_Specification.html (verified: primary)
- [2] NIST AI 100-4, Reducing Risks Posed by Synthetic Content: An Overview of Technical Approaches to Digital Content Transparency (provenance data tracking, watermarking, metadata recording and synthetic-content detection). NIST. 2024-11-20. https://doi.org/10.6028/NIST.AI.100-4 (verified: primary)
Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .