MODULE 02

ISO/IEC 42001 — AI Management System

Deep dive into ISO/IEC 42001:2023 — the world's first international standard for AI Management Systems (AIMS). Covers the Plan-Do-Check-Act cycle, Annex controls, certification requirements, and integration with ISO 27001.

4
Units
~3 hrs
Duration
~45 min
Per unit
8
Practice Qs
Learning objectives
After completing this module, you will be able to:
First international AI management system standard (December 2023)
Clauses 4-10 follow the Harmonized Structure
38 normative controls across multiple domains
Two-stage audit: documentation review + implementation evaluation
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In this module
2.1 — What is ISO/IEC 42001?
2.2 — Core Clauses (4–10)
2.3 — Annex A Controls
2.4 — Certification Process and Integration
Practice questions
Q1: When was ISO/IEC 42001 published, and what does it specify?
Show Answer

Published December 2023, it specifies requirements for an AI Management System (AIMS) — the first international standard for AI management systems. It is certifiable, follows the Harmonized Structure, and uses the PDCA cycle.

Q2: How many controls does Annex A contain, and what must organizations do with each one?
Show Answer

Annex A contains 38 normative controls. Organizations must either implement each control or provide a documented, risk-based justification for its exclusion in their Statement of Applicability (SoA). Simply ignoring a control is a nonconformity.

Q3: Describe the ISO 42001 certification process, including the audit stages and certification lifecycle.
Show Answer

A two-stage third-party audit: Stage 1 reviews documentation and AIMS design; Stage 2 evaluates implementation effectiveness on-site. Certification is valid for 3 years with annual surveillance audits. Recertification requires a full audit before the certificate expires.

Q4: How does ISO 42001 integrate with ISO 27001, and what makes this integration natural?
Show Answer

Both follow the Harmonized Structure (same clause numbering 4-10, same PDCA cycle). AI risks overlap with information security risks. Organizations can extend existing ISMS to include AIMS requirements, sharing processes for risk assessment, internal audit, management review, and corrective action. An integrated management system reduces duplication.

Q5: What is the difference between the risk assessment requirements in ISO 42001 versus ISO 27001?
Show Answer

ISO 42001 (Clause 6) requires risk assessment to consider impacts on individuals, groups, and society — not just organizational/business risks like confidentiality, integrity, and availability (ISO 27001's focus). ISO 42001's risk scope includes human rights, fairness, safety, and societal impacts, which is broader than traditional information security risk assessment.

Q6: Explain the role of the Statement of Applicability (SoA) in ISO 42001. How is it similar to ISO 27001's SoA?
Show Answer

The SoA documents which of the 38 Annex A controls are implemented and which are excluded, with justification for each exclusion. It mirrors ISO 27001's SoA concept (which covers 93 controls). Both serve as a key audit artifact — auditors verify that every control is addressed. The SoA is a mandatory document for certification.

Q7: What are the key domains covered by Annex A controls? Name at least five.
Show Answer

Annex A domains include: A.2 AI Policies, A.3 Internal Organization, A.4 Resources for AI Systems, A.5 Assessing Impacts of AI Systems, A.6 AI System Lifecycle, A.7 Data for AI Systems, A.8 Information for Interested Parties, A.9 Use of AI Systems, and A.10 Third-party/Supply Chain.

Q8: What is the PDCA cycle and how does it apply to ISO 42001? Give a concrete example for each phase.
Show Answer

PDCA = Plan-Do-Check-Act. Plan: Establish AI policy and conduct risk assessments. Do: Implement Annex A controls and deploy AI systems with safeguards. Check: Monitor AI system performance, conduct internal audits, review effectiveness. Act: Address nonconformities with corrective actions and drive continual improvement. The cycle repeats continuously, ensuring the AIMS evolves with changing risks and organizational needs.

01. NIST AI Risk Management Framework03. EU AI Act