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Transparency & Information across ISO 42001, NIST AI RMF and the EU AI Act
// theme · transparency
Transparency & Information
Disclosure to users, deployers, regulators; AI-generated content labelling.
// Do once → satisfies all three
ONE published model card plus an in-product AI notice and synthetic-content label.
User-facing notice + maintained model card delivers ISO transparency, NIST explainability evidence, and EU disclosure duties at once.
ISO 42001
Annex A.8
NIST AI RMF
MEASURE 2.8 · MEASURE 2.9 · MEASURE 3.3
EU AI Act
Art.13 · Art.50
// Evidence auditors expect
- ✓ User-facing notice that AI is in use + instructions for use
- ✓ Model card published with intended use, limits, performance
- ✓ AI-generated content labelling (Art.50) for synthetic media
- ✓ Disclosure log showing what was told to whom and when
// Common pitfalls
- ⚠ User notice buried in T&Cs instead of in-product (fails Art.13/50).
- ⚠ Generic model card that doesn't cover the deployed configuration.
- ⚠ Disclosure to deployers but not to affected end-users.
ISO 42001
5Annex A.8 obliges providing information to interested parties; Cl.7.4 covers communications.
Clause 7.4
Communication
Internal and external communications regarding AIMS.
Annex A.8.2
System documentation and information for users
Provide system documentation and information so users can use the AI system correctly.
Annex A.8.3
External reporting
Report externally on AI system performance, incidents and impacts as appropriate.
Annex A.8.4
Communication of incidents
Communicate AI system incidents to affected parties and authorities in a timely way.
Annex A.8.5
Information for interested parties
Provide information about AI systems to interested parties beyond direct users.
NIST AI RMF
4MEASURE 2.8/2.9 + MANAGE 2.3 ensure model behaviour is explainable and disclosed.
GOVERN 5.1
Stakeholder engagement & communications
Mechanisms for stakeholder feedback and communication.
MEASURE 2.8
Transparency & accountability examined
Risks of opacity examined and addressed.
MEASURE 2.9
Interpretability & explainability
AI system is examined for interpretability and explainability.
MEASURE 3.3
Feedback from end users captured
Feedback from end users and affected communities tracked.
EU AI Act
2Art.13 requires user-facing instructions for high-risk AI; Art.50 mandates labelling of AI-generated content and disclosure of chatbots and deepfakes.