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§ I · Domain OUT · Control 11 of 16
Control
OUT-11
Edition
v.1.3
Status
Public review

OUT · Output Integrity & Supply Chain

OUT-11AI-generated content disclosure

Where regulation or contract requires disclosure of AI-generated or AI-modified content, watermarking, or provenance signaling (e.g., C2PA), the requirements are honored. Disclosure is auditable.

Where regulation or contract requires disclosure of AI-generated or AI-modified content, the organization honors those requirements through watermarking, provenance signaling (e.g., C2PA), or explicit disclosure. The disclosure mechanism is auditable: an assessor can verify that required disclosures are being made and that the mechanism has not been circumvented.

Table OUT-11.1 · Maturity criteria · v.1.3

L1 to L5 · the lowest level in scope caps the agent
L1Ad hoc

Controls exist informally; documentation is incomplete; no consistent review.

L2Documented

Controls are written down; ownership is assigned; review cadence is defined.

L3Operated

Controls are followed in practice; evidence is collected; deviations are tracked.

Disclosure requirements are documented per agent and jurisdiction; disclosure mechanisms are operational; compliance is verified by audit or automated monitoring; disclosure records are retained.

L4Measured

Control effectiveness is measured against documented thresholds; trends are reported.

L5Continuously Improved

Controls evolve based on incident learning; maturity gains are evidenced over time.

The v1.3 edition publishes a control-specific criterion at L3 (Operated). The other levels apply the general ladder to this control; see the maturity ladder.

Evidence an assessor asks for

  1. E.1

    Disclosure requirements are documented per agent and jurisdiction.

  2. E.2

    Disclosure mechanisms are operational.

  3. E.3

    Compliance is verified by audit or automated monitoring.

  4. E.4

    Disclosure records are retained.

Table OUT-11.2 · Framework mappings

2 of 7 frameworks carry a control-level reference
NIST AI RMF·NIST AI Risk Management Framework 1.0
ISO/IEC 42001·ISO/IEC 42001:2023 · Artificial intelligence management system
OWASP LLM Top 10·OWASP Top 10 for Large Language Model Applications
SOC 2 (TSC)·AICPA Trust Services Criteria for SOC 2 Type II
EU AI ActArt. 13(1), Art. 13(2)EU AI Act · Regulation (EU) 2024/1689
MITRE ATLAS·MITRE ATLAS · Adversarial Threat Landscape for AI Systems
SingaporeMAIGF Content Provenance, AI Verify TransparencySingapore Model AI Governance Framework / AI Verify / PDPA

Mappings are directional: meeting this control evidences but does not by itself satisfy the external requirement. A middle dot means no control-level reference is published at this edition; see the crosswalk.

Cite this control

Human Intelligence. HI-AAF v1.3, OUT-11 AI-generated content disclosure. Public review edition, July 2026. https://humanintel.net/standard/out/out-11

Edition v.1.3 · July 2026 · Public review · Markdown · PDF

https://humanintel.net/standard/out/out-11

Notice

HI-AAF v1.3 is an independent framework published by Human Intelligence. It is not affiliated with NIST, ISO, AICPA, or any government or accreditation body. The framework is offered openly for review during the current draft cycle.