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| Section | Weight | Objectives |
|---|
| Fundamentals of AI Governance and the ISO/IEC 42001 Framework | 40% | - Purpose and Scope of ISO/IEC 42001
- 1. Organizational adoption of AI governance frameworks
- 2. Purpose and objectives of the Artificial Intelligence Management System (AIMS)
- 3. Alignment with ethical AI principles and sustainable digital transformation
- Risk-Based Thinking in AI Governance
- 1. AI risk assessment and mitigation
- 2. Integration of AI risks with organizational objectives
- 3. Identification of AI-related risks
- Structure and Clauses of ISO/IEC 42001
- 1. Plan-Do-Check-Act (PDCA) cycle
- 2. Structure and sequence of ISO/IEC 42001
- 3. Requirements covered by Clauses 4โ10
- Relationship Between ISO/IEC 42001 and Other Management Standards
- 1. Relationship with ISO/IEC 27001
- 2. Relationship with ISO/IEC 27701
- 3. Relationship with ISO 9001
- Key Terms and Definitions Related to AI Governance
- 1. AI lifecycle and continual improvement
- 2. Artificial Intelligence Management System (AIMS)
- 3. Accountability, bias, and transparency
|
| Core Components of the Artificial Intelligence Management System (AIMS) | 40% | - AI Policy and Organizational Values
- 1. Purpose and role of an AI policy
- 2. Integration of AI risk management into organizational values
- 3. Leadership commitment to fairness and transparency
- AI Risk and Impact Assessments
- 1. AI System Impact Assessment (AI-SIA)
- 2. AI risk assessment concepts
- 3. AI impact assessment documentation
- Operational Controls and Documentation Requirements
- 1. Data governance procedures
- 2. AI model change records
- 3. AI incident logs and operational documentation
- Performance Evaluation and Continual Improvement
- 1. Internal reviews
- 2. Corrective actions
- 3. Continual improvement through the PDCA cycle
- 4. AI system monitoring
- Main Requirements of ISO/IEC 42001 Clauses 4โ10
- 1. Leadership
- 2. Operation
- 3. Support
- 4. Planning
- 5. Context of the organization
- 6. Performance evaluation
- 7. Improvement
|
| Responsible AI, Ethics, and Stakeholder Awareness | 20% | - Transparency and Explainability in AI Systems
- 1. Understandable AI decisions for users and regulators
- 2. Explainability of AI decisions
- 3. Transparency in AI systems
- Ethical Principles of Responsible AI
- 1. Accountability
- 2. Fairness and non-discrimination
- 3. Human oversight
- 4. Privacy
- Communication, Stakeholder Engagement, and Trust
- 1. AI ethics statements
- 2. Public disclosures and stakeholder communication
- 3. Building trust through stakeholder engagement
- 4. Responsible AI policies
- Stakeholder Roles in AI Governance
- 1. External stakeholders
- Customers
- Regulators
- Society
- 2. Internal stakeholders
- Organizational leadership
- AI developers
- Compliance teams
|
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GAICC ISO/IEC 42001 Foundation Sample Questions (Q35-Q40):
NEW QUESTION # 35
+-----------------------------------------------------------------------------------------------+
| Choose one answer. Only a single option is correct. |
| |
| ( ) A normative catalogue of mandatory AI controls that an organisation must implement in |
| full to achieve certification, regardless of its context or risk profile. |
| |
| ( ) An informative reference set of AI controls that organisations select from during risk |
| treatment, and document inclusion or exclusion via the Statement of Applicability. |
| |
| ( ) A glossary of AI ethics principles drawn from regional regulations such as the EU AI Act |
| intended to guide ethical conduct rather than operational AIMS controls. |
| |
| ( ) A list of recommended external auditors and consultants accredited by ISO and IEC to |
| support implementation of an AI management system in regulated sectors. |
+-----------------------------------------------------------------------------------------------+ A trainee auditor is preparing notes on the structure of ISO/IEC 42001 and wants to describe the role of Annex A. Her mentor reminds her to use the definition consistent with GAICC Foundation Module 3 and Clause 6.1.3. Which description of Annex A is the MOST accurate?
- A. A glossary of AI ethics principles drawn from regional regulations such as the EU AI Act intended to guide ethical conduct rather than operational AIMS controls.
- B. A normative catalogue of mandatory AI controls that an organisation must implement in full to achieve certification, regardless of its context or risk profile.
- C. A list of recommended external auditors and consultants accredited by ISO and IEC to support implementation of an AI management system in regulated sectors.
- D. An informative reference set of AI controls that organisations select from during risk treatment, and document inclusion or exclusion via the Statement of Applicability.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Annex A of ISO/IEC 42001 provides an extensive reference control set organized across key governance and technical domains (controls A.2 through A.10). Under Clause 6.1.3 (AI risk treatment), the standard specifies that Annex A is not a universally mandatory checklist that every entity must implement in its entirety regardless of context. Instead, Annex A serves as a comprehensive reference source from which organizations select appropriate controls based on the explicit findings of their Clause 6.1.2 risk assessment and Clause
6.1.4 impact assessment. The organization must produce a formal Statement of Applicability (SoA) documenting which Annex A controls have been selected, the rationale for their inclusion, their current implementation status, and a rigorous, defensible justification for any excluded controls. Describing Annex A as mandatory for all organizations or confusing it with an ethics glossary or auditor directory misinterprets the risk-driven methodology foundational to ISO management systems.
Reference: ISO/IEC 42001:2023 Clause 6.1.3 (AI risk treatment); Annex A; GAICC Foundation Module 3 (Annex A Control Architecture and Statement of Applicability).
NEW QUESTION # 36
A compliance manager is preparing a slide for the leadership team to explain the difference between accreditation and certification in the ISO/IEC 42001 ecosystem. She wants a one-sentence working definition of an accreditation body that aligns with GAICC Foundation Module 2. Which option is the BEST fit?
- A. An accreditation body is the consulting firm engaged by an organisation to help draft its AI policy, conduct gap analyses, and prepare evidence packs for a Stage 1 audit.
- B. An accreditation body is the publisher of an ISO standard, responsible for drafting the requirements text, maintaining revisions, and updating the harmonised structure terms.
- C. An accreditation body is an authoritative third party that assesses and formally recognises the competence of certification bodies to audit against standards such as ISO/IEC 42001.
- D. An accreditation body is the internal audit function within an organisation that reviews the AIMS against ISO/IEC 42001 before any external certification audit is conducted.
Answer: C
Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
In the global conformity assessment hierarchy governed by the International Accreditation Forum (IAF) and ISO/IEC 17011, there is a distinct structural separation between certification and accreditation. Organizations seeking to validate their AIMS undergo a certification audit performed by a Certification Body (Conformity Assessment Body). In turn, the competence, impartiality, and procedural integrity of the Certification Body are evaluated, formally approved, and surveilled by an authoritative Accreditation Body (such as UKAS in the UK, ANAB in the United States, or DAkkS in Germany). Accreditation acts as the authoritative mechanism that validates certification bodies, ensuring mutual recognition of ISO/IEC 42001 certificates across global jurisdictions. Accreditation bodies do not provide consulting services, conduct internal enterprise audits, or author the underlying international standards (which is the purview of ISO/IEC JTC 1/SC 42).
Reference: ISO/IEC 17011; ISO/IEC 17021-1; GAICC Foundation Module 2 (The Global Conformity Assessment Infrastructure).
NEW QUESTION # 37
A regional hospital network is starting its ISO/IEC 42001 journey. The chief medical officer wants the AIMS scope to cover the radiology-triage AI in current use, on the basis that no other AI is deployed yet. The chief information officer has identified two more AI tools planned for rollout in the next six months: an admissions- forecasting model and a clinical-coding assistant. How should the AIMS scope be framed at the outset, consistent with Clause 4 of ISO/IEC 42001?
- A. Defer the scope decision until after the two planned tools are live, and operate the AIMS informally in the interim, since a formal scope decision before deployment risks creating obligations the hospital is not yet ready to discharge under the management system.
- B. Restrict the AIMS scope to the radiology triage tool in use today, on the basis that planned systems may be cancelled, and revisit the scope question after the planned tools have been live in production for an extended observation period.
- C. Adopt an open-ended scope statement that covers any AI the hospital may deploy at any point in the future, without listing specific systems, on the grounds that a broad scope avoids the need for frequent scope-change documentation.
- D. Define the AIMS scope to reflect the organisation ' s planned AI footprint, including the radiology triage tool in use plus the two near-term planned tools, and document the rationale so the scope boundaries are explicit and defensible.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Clause 4.3 (Determining the scope of the AI management system) requires an organization to establish the boundaries and applicability of the AIMS by considering the external and internal issues identified in Clause
4.1, the requirements of interested parties determined in Clause 4.2, and the full lifecycle of activities, products, and services within its purview. In an operational enterprise where near-term deployments are actively in development or scheduled for release within the business cycle, framing the scope around both active and near-term scheduled implementations ensures that risk assessments, design controls, and AI system impact assessments are applied before production deployment. A scope restricted artificially to a single active algorithm risks leaving subsequent pipeline deployments ungoverned by management system controls.
Conversely, vague and open-ended scoping statements that do not delineate system boundaries or organizational interfaces fail audit scrutiny. Formally documenting the planned footprint and providing clear, defensible boundaries satisfies the expectations of Clause 4.3 and allows the organization to build proactive compliance pathways across the development lifecycle.
Reference: ISO/IEC 42001:2023 Clause 4.3 (Determining the scope of the AI management system); GAICC Foundation Module 4 (Context of the Organisation & Scope Formulation).
NEW QUESTION # 38
A telecoms group is finalising the documented scope statement for its AIMS under Clause 4.3. The general counsel asks which inputs Clause 4.3 expects the team to consider when defining the AIMS boundaries.
According to GAICC Foundation Module 4, which set of inputs is MOST consistent with Clause 4.3?
- A. The Continuing Professional Development requirements for personnel certified under the GAICC Foundation credential, since scope is governed by personnel certification cycles.
- B. The five-step certification application pathway, including the twelve-month eligibility window opened on the date the certification application is approved by GAICC.
- C. The external and internal issues from Clause 4.1, the requirements of interested parties from Clause 4.2, and the organisation ' s AI-related roles, services, and dependencies.
- D. Just the AI inventory and the geographies of deployment, since Clause 4.3 is concerned with describing technical assets and the regions in which they are operated.
Answer: C
Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Determining the scope of the AIMS under ISO/IEC 42001 Clause 4.3 requires an explicit synthesis of organizational context and stakeholder obligations. Specifically, the standard mandates that an organization consider the external and internal context factors established in Clause 4.1, the compliance and operational requirements of identified interested parties determined under Clause 4.2, and the interactions between organizational operations and external providers. In the context of artificial intelligence, Clause 4.3 uniquely extends this analysis to include the distinct roles the organization plays across the AI system life cycle (e.g., AI developer, provider, deployer, or user), along with external technical dependencies and supply chain architectures. Limiting the scope solely to asset inventories or regional footprints omits key legal, societal, and relational governance vectors. The resulting scope must be maintained as documented information, clearly demarcating boundaries, operational interfaces, and any defensible justifications for exclusions.
Reference: ISO/IEC 42001:2023 Clause 4.3 (Determining the scope of the AI management system); GAICC Foundation Module 4 (Context of the Organisation & Scope Formulation).
NEW QUESTION # 39
A small insurance firm is performing its first context analysis under Clause 4.1 of ISO/IEC 42001. The compliance lead lists the factors the team should consider. Which item BEST illustrates an EXTERNAL issue relevant to the AIMS, consistent with GAICC Foundation Module 4?
- A. The current inventory of AI models deployed in the underwriting platform and the technical debt accumulated within the firm ' s own internal data pipelines over time.
- B. The firm ' s internal organisational culture and the maturity of its data engineering team, both of which influence how AI projects are scoped and delivered.
- C. The forthcoming enforcement of regional AI legislation, such as the EU AI Act, and evolving public expectations about transparency in automated insurance decisions.
- D. The composition of the firm ' s senior leadership team and the way responsibilities for AI initiatives are currently allocated across internal business units.
Answer: C
NEW QUESTION # 40
......
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