ISO 42001 A.8: Information for interested parties

Transparency and reporting to stakeholders

By Jorge García Aibar Reviewed 2026-09-19

From clause to evidence Build the artefact, then file every output it produces as a record that names AIGE-OBL-ISO42001-A8. Drawn from chapter 08.

Text alternative

Clause: ISO 42001, A.8.
Duty holder: Not stated.
Applies from: No date, Voluntary.
Artefact: Model/data cards.
Layer: Layer 02 Inventory & Transparency.
Evidence record: Model card, +1 more.
Record schemas: Model card , Instructions for use .
The same topic in 21 other frameworks; the crosswalk section below links each clause.

Id: AIGE-OBL-ISO42001-A8
Instrument: ISO/IEC 42001 standard
Compared side by side: ISO 42001 vs EU AI Act · NIST AI RMF vs ISO 42001
Clause: A.8
Applies from: No date Voluntary · Voluntary management-system standard (2023); no presumption of conformity

The artefact that evidences it

Model/data cards; machine-readable disclosures.

L2 Inventory & Transparency

Patterns that build it

Explanation Artefact (layer 4 and 5)
Claims Substantiation Gate (layer 5 and 3)
Decision Notice & Contest Path (layer 4 and 5)
Downstream Use Register (layer 2 and 1)
Disclosure & Notification Pipeline (layer 5 and 2)

The same topic in other frameworks

From the topic crosswalk: the clauses filed under the same topics as this one. Mappings are illustrative, not a claim of conformity.

Documentation and transparency

EU AI Act Art. 11 Technical documentation (core)
EU AI Act Art. 13 Transparency and provision of information to deployers (core)
EU AI Act Art. 53 Obligations for providers of general-purpose AI models (core)
ISO 42001 7.5 Documented information (core)
ISO 42001 A.6 AI system life cycle (core)
China AI Labelling Label Art. 4 Explicit labels for generated content (core)
China AI Labelling Label Art. 5 Implicit (metadata) labels (core)
China GenAI Measures GenAI Art. 12 Labelling of generated content (core)
China Deep Synthesis DeepSyn Art. 16 Implicit technical labels (core)
China Deep Synthesis DeepSyn Art. 17 Conspicuous labels for confusable content (core)
GPAI Code Transparency 1.1 Drawing up and keeping up-to-date model documentation (core)
GDPR Arts. 13–14 Information to be provided to the data subject (core)
CSA AICM MDS-03 Model Documentation (core)
Korea AI Act Art. 31 Transparency: prior notice, output labelling, realistic synthetic content (core)
UK ATRS ATRS Tier 1 Summary information (core)
Singapore GenAI GenAI 3 Trusted Development and Deployment (core)
CoE Convention CoE Art. 14(2) Documentation sufficient to contest decisions; complaint to authorities (core)
OECD AI Principles OECD 1.3 Transparency and explainability (core)
G7 Code G7 Action 3 Publicly report capabilities, limitations and domains of use (core)
GAO AI Accountability 1.9 Transparency: enable external stakeholders to access information on the design, operation, and limitations of the AI system (core)
GAO AI Accountability 3.5 Documentation: document the methods for assessment, performance metrics, and outcomes of the AI system (core)
EU AI Act Art. 50 Transparency obligations for providers and deployers of certain AI systems
NIST AI RMF MAP 1 MAP 1: Context is established and understood
NIST AI RMF MEASURE 2.8 MEASURE 2.8: Risks associated with transparency and accountability are examined and documented
China GenAI Measures GenAI Art. 19 Disclosure to regulators
China Algo. Rec. AlgoRec Art. 16 Notice that recommendation is used
GB/T 45654 GB/T 45654 Content labelling Generated-content labelling requirements (clause not verified)
EU AI Act Art. 86 Right to explanation of individual decision-making
EU AI Act Art. 18 Documentation keeping
EU AI Act Art. 43 Conformity assessment
EU AI Act Art. 53(1)(d) Public summary of the content used for training
EU AI Act Art. 50(2), 50(4) Machine-readable marking of synthetic content; disclosure of deep fakes
GPAI Code Transparency 1.2 Providing relevant information
GDPR Art. 30 Records of processing activities
NIST AI RMF MAP 1.6 MAP 1.6: System requirements are elicited from and understood by relevant AI actors. Design decisions take socio-technical implications into account to address AI risks
NIST AI RMF MEASURE 2.9 MEASURE 2.9: The AI model is explained, validated, and documented, and AI system output is interpreted within its context as identified in the MAP function to inform responsible use and governance
CSA AICM MDS-04 Model Documentation Requirements
Korea AI Act Art. 34(1)(2) Explanation plan: result, main criteria, training-data overview
UK ATRS ATRS 2.2 Description and rationale
CoE Convention CoE Art. 15(2) Notification of interaction with an AI system
GAO AI Accountability 1.7 Specifications: establish and document technical specifications

Incident response and monitoring

EU AI Act Art. 72 Post-market monitoring by providers and post-market monitoring plan (core)
EU AI Act Art. 73 Reporting of serious incidents (core)
ISO 42001 10.2 Nonconformity and corrective action (core)
NIST AI RMF MANAGE 4 MANAGE 4: Risk treatments, including response and recovery, and communication plans for the identified and measured AI risks are documented and monitored (core)
TC260 Framework 3.0 TC260 5.3.7 Real-time risk monitoring (core)
TC260 Framework 3.0 TC260 5.3.18 Incident reporting (core)
China GenAI Measures GenAI Art. 14 Handle and report unlawful content (core)
China GenAI Measures GenAI Art. 15 Complaint and reporting mechanism (core)
EU AI Act Art. 26(5) Deployer monitoring, informing the provider and suspending use (core)
GPAI Code Safety C9 Commitment 9: Serious incident reporting (core)
GDPR Arts. 33–34 Notification and communication of a personal data breach (core)
NIST AI RMF MANAGE 4.3 MANAGE 4.3: Incidents and errors are communicated to relevant AI actors, including affected communities. Processes for tracking, responding to, and recovering from incidents and errors are followed and documented (core)
CSA AICM SEF-07 Incident Management and Response (core)
CSA AICM SEF-08 Security Breach Notification (core)
Korea AI Act Art. 32(1) Safety duties for AI above the compute threshold (core)
Singapore GenAI GenAI 4 Incident Reporting (core)
Singapore Agentic Agentic 2.3.3 When deploying, continuously monitor and test (core)
G7 Code G7 Action 2 Identify and mitigate vulnerabilities, incidents and misuse after deployment (core)
G7 Code G7 Action 4 Responsible information sharing and reporting of incidents (core)
GAO AI Accountability 4.1 Planning: develop plans for continuous or routine monitoring of the AI system (core)
GAO AI Accountability 4.2 Drift: establish the range of data and model drift that is acceptable (core)
EU AI Act Art. 55 Obligations for providers of general-purpose AI models with systemic risk
TC260 Framework 3.0 TC260 App. 2 II.6 Emergency plans
China Algo. Rec. AlgoRec Art. 7 Security management and emergency response
EU AI Act Art. 3(49) Definition of serious incident
EU AI Act Art. 20 Corrective actions and duty of information
GPAI Code Safety 3.5 Measure 3.5: Post-market monitoring
NIST AI RMF MANAGE 2.4 MANAGE 2.4: Mechanisms are in place and applied, and responsibilities are assigned and understood, to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use
NIST AI RMF GOVERN 4.3 GOVERN 4.3: Organizational practices are in place to enable AI testing, identification of incidents, and information sharing

Explainability and right to explanation

EU AI Act Art. 86 Right to explanation of individual decision-making (core)
EU AI Act Art. 13(3)(b)(iv)–(v) Information relevant to explain output; performance for specific persons or groups (core)
GDPR Art. 15(1)(h) Meaningful information about the logic involved (core)
NIST AI RMF MEASURE 2.9 MEASURE 2.9: The AI model is explained, validated, and documented, and AI system output is interpreted within its context as identified in the MAP function to inform responsible use and governance (core)
CSA AICM GRC-13 Explainability Requirement (core)
CSA AICM GRC-14 Explainability Evaluation (core)
Korea AI Act Art. 34(1)(2) Explanation plan: result, main criteria, training-data overview (core)
UK DUAA UK GDPR Art. 22C Safeguards for automated decision-making (core)
OECD AI Principles OECD 1.3 Transparency and explainability (core)
GDPR Art. 13(2)(f) Existence of automated decision-making
GDPR Art. 22(3) Right to obtain human intervention and to contest the decision
NIST AI RMF MEASURE 2.8 MEASURE 2.8: Risks associated with transparency and accountability as identified in the MAP function are examined and documented
UK ATRS ATRS 2.3.5 Appeals and review
Singapore GenAI GenAI 3 Trusted Development and Deployment
CoE Convention CoE Art. 14(2) Documentation sufficient to contest decisions; complaint to authorities
China Algo. Rec. AlgoRec Art. 17 Explain where an algorithm significantly affects user rights

Open controls that evidence it

Draft controls in the open control profiles that map to this row: each states a requirement and the evidence it must leave behind.

AIGE-CTL-EVAL-007 Incident Evidence Preservation (Evaluation environment profile)
AIGE-CTL-DATA-012 Registered Downstream Consumers of Outputs (Data admission and privacy profile)

Source

Chapter 08, section ISO/IEC 42001, 42005 and 42006, checked against its sources on the review date above.

Machine-readable

This obligation: /api/v1/obligations/aige-obl-iso42001-a8.json
The register: /api/v1/obligations.json · CSV
Schema and stability promise: open data and API

Cite this obligation

García Aibar, J. (2026). ISO 42001 A.8: Information for interested parties (AIGE-OBL-ISO42001-A8). In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0). https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/obligations/aige-obl-iso42001-a8. CC BY 4.0

BibTeX

@misc{aige2026obligation,
  author       = {Jorge García Aibar},
  title        = {{ISO 42001 A.8: Information for interested parties (AIGE-OBL-ISO42001-A8)}},
  howpublished = {In AI Governance Engineering: The Thesis \& Body of Knowledge},
  year         = {2026},
  version      = {0.5.0},
  doi          = {10.5281/zenodo.22956197},
  url          = {https://aigovernanceengineer.com/obligations/aige-obl-iso42001-a8},
  note         = {Version 0.5.0}
}