Guideline
AI Synthetic-Content Provenance Guideline
This guideline provides implementation guidance for the AI-generated-content transparency obligations that ai/policy-ai-compliance.md Section 9.2 and the EU jurisdiction annex state at the policy and regulatory level. Those surfaces establish what must be labelled and when; this guideline is the how: the digital content transparency techniques an implementer selects and operates so that AI-generated or manipulated output is marked, detectable, and disclosed.
- Type
- Guideline
- Version
- 0.0.11
- Date
- 2026-10-27
- Owner
- AI Security Maintainer
- Approving authority
- Governance Library Maintainer
- Classification
- Public
- Confidentiality
- Public
- Category
- AI Governance
- Review frequency
- 6 to 12 months and upon material AI framework or regulatory change
- Licence
- CC BY-SA 4.0
Read the full text on GitHub (opens in a new tab)
Outline
- Purpose
- Scope
- Digital content transparency techniques
- Choosing a technique: attributes and limitations
- Disclosure and labelling
- Standards and specifications
- Testing and evaluating transparency techniques
- Regulatory anchoring
- Framework alignment
- Limitations
Frameworks it maps to
- NIST AI 100-4 (November 2024)
- EU AI Act (Regulation (EU) 2024/1689)
- NIST AI RMF 1.0 (2023)
- ISO/IEC 42001:2023
Related documents
- AI Compliance Policyai
- AI Model Documentation and Transparency Frameworkai
- AI Vendor Security Questionnaire Templateai
- Foundation Model Lifecycle Procedureai
- System Card Templateai
- European Union AI Regulatory Requirementsai
- Training Data Governance Procedureai
- AI and Agentic Development Security Standardai
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