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| Section | Weight | Objectives |
|---|
| Fundamentals of AI Governance and the ISO/IEC 42001 Framework | 40% | - Structure and Clauses of ISO/IEC 42001
- 1. Structure and sequence of ISO/IEC 42001
- 2. Requirements covered by Clauses 4โ10
- 3. Plan-Do-Check-Act (PDCA) cycle
- 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
- Risk-Based Thinking in AI Governance
- 1. Integration of AI risks with organizational objectives
- 2. Identification of AI-related risks
- 3. AI risk assessment and mitigation
- Key Terms and Definitions Related to AI Governance
- 1. Accountability, bias, and transparency
- 2. Artificial Intelligence Management System (AIMS)
- 3. AI lifecycle and continual improvement
- Purpose and Scope of ISO/IEC 42001
- 1. Purpose and objectives of the Artificial Intelligence Management System (AIMS)
- 2. Organizational adoption of AI governance frameworks
- 3. Alignment with ethical AI principles and sustainable digital transformation
|
| Core Components of the Artificial Intelligence Management System (AIMS) | 40% | - Main Requirements of ISO/IEC 42001 Clauses 4โ10
- 1. Performance evaluation
- 2. Leadership
- 3. Planning
- 4. Context of the organization
- 5. Improvement
- 6. Operation
- 7. Support
- AI Policy and Organizational Values
- 1. Leadership commitment to fairness and transparency
- 2. Integration of AI risk management into organizational values
- 3. Purpose and role of an AI policy
- Performance Evaluation and Continual Improvement
- 1. Corrective actions
- 2. Continual improvement through the PDCA cycle
- 3. AI system monitoring
- 4. Internal reviews
- AI Risk and Impact Assessments
- 1. AI impact assessment documentation
- 2. AI System Impact Assessment (AI-SIA)
- 3. AI risk assessment concepts
- Operational Controls and Documentation Requirements
- 1. Data governance procedures
- 2. AI model change records
- 3. AI incident logs and operational documentation
|
| Responsible AI, Ethics, and Stakeholder Awareness | 20% | - Communication, Stakeholder Engagement, and Trust
- 1. Responsible AI policies
- 2. AI ethics statements
- 3. Public disclosures and stakeholder communication
- 4. Building trust through stakeholder engagement
- Ethical Principles of Responsible AI
- 1. Fairness and non-discrimination
- 2. Human oversight
- 3. Accountability
- 4. Privacy
- Stakeholder Roles in AI Governance
- 1. Internal stakeholders
- Organizational leadership
- AI developers
- Compliance teams
- 2. External stakeholders
- Customers
- Regulators
- Society
- Transparency and Explainability in AI Systems
- 1. Understandable AI decisions for users and regulators
- 2. Transparency in AI systems
- 3. Explainability of AI decisions
|
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GAICC ISO/IEC 42001 Foundation Sample Questions (Q24-Q29):
NEW QUESTION # 24
A foundation learner is shown four pieces of evidence collected during a Clause 5 walkthrough at a media company that deploys content-moderation AI. The auditor wants the single strongest indicator that top management is actively committed to the AIMS, not merely supportive on paper. The four pieces of evidence are an intranet news item, a printed policy, a budget line, and a signed management-review minute. Which item BEST evidences active Clause 5.1 commitment?
- A. An intranet news item from twelve months ago announcing that the organisation has adopted ISO/IEC
42001 as its preferred AI management framework, written by the corporate-communications team rather than by top management directly. - B. A finance-system budget line called " AI governance " totalling a substantial annual figure, with no supporting breakdown of how funds were allocated across training, tooling, monitoring, or external advisory services during the period.
- C. A signed management-review minute showing the chief executive chaired the review, reviewed AIMS performance indicators, approved resource changes, and tasked named owners with follow-up actions carrying agreed deadlines and reporting dates.
- D. A printed AI policy displayed in the reception lobby, signed by a former chief executive who departed before the AIMS scope was extended to cover the newer generative-AI content-moderation tools that the company now operates.
Answer: C
Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
In ISO conformity assessment audits, external auditors distinguish between superficial paper compliance and genuine, verifiable leadership commitment under Clause 5.1. While published policies, internal communications, and high-level financial allocations represent supporting evidence, they are insufficient on their own to substantiate direct leadership engagement. A signed management review record (Clause 9.3) demonstrating that the chief executive personally presided over the governance review, critically assessed operational telemetry and audit findings, authorized concrete resource allocations, and assigned actionable remediation tasks to named owners establishes clear, verifiable proof of active leadership oversight. This record links top-level strategic authority directly to operational accountability and continual improvement, providing the primary evidence needed to satisfy Clause 5.1.
Reference: ISO/IEC 42001:2023 Clause 5.1 (Leadership and commitment); Clause 9.3 (Management review); GAICC Foundation Module 5 (Leadership and Top Management Audit Trails).
NEW QUESTION # 25
A start-up founder argues that ISO/IEC 42001 is irrelevant to her company because it neither develops AI models nor sells AI products-it merely uses a third-party generative AI assistant to draft customer support replies. The compliance lead disagrees and points to the standard ' s scope as described in the GAICC Foundation materials. Which statement BEST captures who ISO/IEC 42001 is intended for?
- A. Public-sector bodies subject to AI legislation, since voluntary management system standards are intended for regulated entities rather than commercial start-ups.
- B. Organisations that build and train their own AI models from scratch, since the standard targets AI developers rather than downstream users of third-party vendor tools.
- C. Any organisation that develops, provides, or uses AI systems, irrespective of size, sector, or AI maturity, including those that consume AI through third-party tools.
- D. Enterprises above a defined revenue threshold, since the cost and complexity of an AI management system is disproportionate for smaller firms or early-stage start-ups.
Answer: C
Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Clause 1 (Scope) of ISO/IEC 42001 specifies that the standard is universally applicable to any organization, regardless of its size, nature, sector, or operational maturity, that develops, provides, or uses products or services that utilize artificial intelligence systems. The standard explicitly rejects the premise that AI governance is exclusively relevant to foundational frontier model builders or commercial software vendors.
Downstream deployers and end-users of third-party commercial tools-such as enterprises leveraging third- party large language models for customer engagement-introduce operational, legal, privacy, and reputational risks into their operational environments. Consequently, organizations acting purely as AI users must establish governance oversight over tool selection, acceptable use policies, prompt data confidentiality, operational monitoring, and vendor relationship controls governed under Annex A (specifically domain A.9).
The standard's requirements are scalable and proportionate to organizational context and risk exposure rather than headcount or development footprint.
Reference: ISO/IEC 42001:2023 Clause 1 (Scope); GAICC Foundation Module 1 (The Purpose, Applicability, and Reach of ISO/IEC 42001).
NEW QUESTION # 26
A retail bank ' s procurement team has begun receiving requests from enterprise clients asking the bank to demonstrate how it governs the AI models used in credit decisioning. The Chief Risk Officer wants a single, internationally recognised framework that addresses AI specifically-not just general quality or information- security controls-and that can be independently certified. Which standard BEST fits this need under the GAICC Foundation view of why ISO/IEC 42001 was published?
- A. The OECD AI Principles, which provide an internationally agreed policy framework for trustworthy AI and a basis for third-party certification.
- B. ISO/IEC 27001, the information security management system standard, which fully addresses AI governance through its existing Annex A control set.
- C. ISO 9001, the international quality management system standard, which already covers AI quality assurance for regulated banking workloads.
- D. ISO/IEC 42001, the first international management system standard dedicated to artificial intelligence and capable of third-party certification.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
ISO/IEC 42001 was developed jointly by ISO and IEC (through JTC 1/SC 42) to establish the world's first certifiable Artificial Intelligence Management System (AIMS) standard. While ISO 9001 addresses overarching quality processes and ISO/IEC 27001 governs information security, neither framework provides specialized, auditable criteria for unique AI risks, including model hallucinations, statistical bias, algorithmic drift, lack of explainability, data poisoning, and autonomous decision opacity. Furthermore, while the OECD AI Principles define high-level global policy benchmarks for trustworthy AI, they are non-binding policy guidance that lack formal conformity assessment specifications. ISO/IEC 42001 fills this gap by delivering an auditable, Harmonized Structure management system against which accredited conformity assessment bodies can perform independent third-party audits and issue formal organizational certification.
Reference: ISO/IEC 42001:2023 Scope; GAICC Foundation Module 1 (The Emergence & Global Role of ISO
/IEC 42001).
NEW QUESTION # 27
+-----------------------------------------------------------------------------------------------+
| Choosduct manager responsible for the deployed AI system, since they direct day-to- |
| day operations and have the most direct view of AI model behaviour and incidents. |
+-----------------------------------------------------------------------------------------------+ A compliance team is mapping ISO/IEC 42001 Clause 3 terms to everyday business language for an internal onboarding wiki. They are debating who counts as ' top management ' under the standard, because the term governs which roles inherit Clause 5.1 leadership duties. According to GAICC Foundation Module 3, which option BEST reflects the Clause 3 definition of top management?
- A. The person or group of people who directs and controls an organisation at the highest level and has the authority to delegate and provide resources within it.
- B. The third-party certification body ' s lead auditor, since the auditor exercises decisive authority over whether the AIMS satisfies ISO/IEC 42001 during a Stage 2 audit.
- C. The product manager responsible for the deployed AI system, since they direct day-to-day operations and have the most direct view of AI model behaviour and incidents.
- D. Any line manager with budget authority over an AI initiative, since top management refers to the manager who funds the AI project rather than to enterprise leadership.
Answer: A
Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
In alignment with the standardized Harmonized Structure across all ISO management system frameworks, Clause 3 of ISO/IEC 42001 defines " top management " verbatim as the " person or group of people who directs and controls an organization at the highest level. " Top management possesses enterprise-wide executive authority to allocate corporate capital, assign operational resources, delegate organizational responsibilities, and enforce strategic accountability across all operating units. In corporate practice, this typically denotes the Board of Directors, Chief Executive Officer, C-suite executives, or the executive leadership team. While technical product managers and engineering directors oversee operational model execution, they do not direct the enterprise at the highest level. External certification auditors are independent third-party assessors who hold zero organizational governance authority. Correctly identifying top management is crucial, as this group is directly accountable for Clause 5.1 leadership obligations and Clause
9.3 management reviews.
Reference: ISO/IEC 42001:2023 Clause 3.3; GAICC Foundation Module 3 (Core Terminology, Governance Definitions, and Leadership).
NEW QUESTION # 28
An AIMS project team is drafting the interested-parties register required under Clause 4.2. A team member suggests limiting the register to paying customers and regulators. The compliance lead pushes back, citing the breadth of interested parties expected under GAICC Foundation Module 4. Which option BEST captures the range of interested parties Clause 4.2 expects?
- A. A broad range that includes customers, regulators, employees, data subjects, suppliers, the public, and communities affected by the organisation ' s AI activities.
- B. Customers and competent regulatory authorities, since interested parties under Clause 4.2 are deliberately restricted to entities with formal commercial or statutory relationships.
- C. Top management and members of the AI governance committee, since interested parties under Clause
4.2 refers to the internal leadership group accountable for the AIMS. - D. External certification body auditors and the accreditation body, since interested parties under Clause 4.2 captures the assurance ecosystem that audits the AIMS.
Answer: A
Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
ISO/IEC 42001 Clause 4.2 establishes a broad mandate for stakeholder identification that aligns with the pervasive, societal impact of artificial intelligence. Unlike traditional technical standards that focus narrowly on immediate clients and statutory authorities, an AIMS must account for a wide continuum of interested parties. This scope encompasses direct customers, regulatory bodies, internal staff, external suppliers, end- users, individuals whose personal data or intellectual property is ingested for model training, and wider communities or vulnerable groups that can be impacted by automated outputs and classifications. Failing to incorporate non-contractual parties-such as individuals evaluated by automated screening tools-creates blind spots in risk assessment, violating the intent of Clauses 4.2, 6.1.2, and 6.1.4.
Reference: ISO/IEC 42001:2023 Clause 4.2; GAICC Foundation Module 4 (Understanding Stakeholders and Expectations).
NEW QUESTION # 29
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