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GAICC ISO-IEC-42001-Foundation Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Fundamentals of AI Governance and the ISO/IEC 42001 Framework40%- Basic concepts of AI and AI Management Systems (AIMS)
  • 1. Purpose, scope and structure of ISO/IEC 42001:2023
    • 2. AI system lifecycle concepts
      • 3. Terminology from ISO/IEC 22989 and ISO/IEC 42001
        - Relationship between AIMS and organizational context
        Topic 2: Core Components of the Artificial Intelligence Management System (AIMS)40%- Key clauses and requirements of ISO/IEC 42001
        • 1. Operation, performance evaluation and improvement
          • 2. Leadership, planning and support
            Topic 3: Responsible AI, Ethics, and Stakeholder Awareness20%- Ethical principles and AI responsibility
            • 1. Fairness, explainability and oversight mechanisms
              • 2. Roles and responsibilities of AI providers, producers and customers
                • 3. Stakeholder engagement and transparency

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                  GAICC ISO/IEC 42001 Foundation Sample Questions (Q38-Q43):

                  NEW QUESTION # 38
                  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?

                  Answer: A

                  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 # 39
                  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?

                  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 # 40
                  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?

                  Answer: B

                  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 # 41
                  A foundation workshop case describes a small financial-advisory firm that has just signed its AI policy. The compliance officer asks what the firm should do next to translate the policy into operational practice for a new portfolio-recommendation AI tool the firm is preparing to deploy. Which next step BEST reflects how ISO
                  /IEC 42001 expects policy to connect to planning and operations for a specific AI system?

                  Answer: D

                  Explanation:
                  Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
                  Under the Plan-Do-Check-Act architecture of ISO/IEC 42001, adopting an overarching AI policy under Clause 5.2 establishes the strategic intent and objectives that must be translated into operational execution via Clause 6 (Planning). Before operationalizing any high-impact algorithmic tool-such as an automated portfolio-recommendation engine-the organization must systematically identify organizational risks under Clause 6.1.2 and perform an AI System Impact Assessment under Clause 6.1.4 to evaluate potential adverse effects on individuals and society. Following risk and impact identification, the entity conducts risk treatment under Clause 6.1.3, selecting tailored controls from Annex A (e.g., model explainability, data verification, drift monitoring, human-in-the-loop oversight) to operationalize the high-level policy commitments.
                  Performing performative public gestures, laminating posters, or releasing an unassessed model into live production without prior risk treatment violates the core operational planning requirements of the standard.
                  Reference: ISO/IEC 42001:2023 Clause 6.1 (Actions to address risks and opportunities); Clause 6.1.4; GAICC Foundation Module 6 (From Policy to Operational Planning).


                  NEW QUESTION # 42
                  A board director asks: ' Why should we invest in ISO/IEC 42001 certification rather than simply publishing an internal AI ethics statement? ' The Chief AI Officer responds by listing the drivers that motivated publication of the standard. Which option BEST summarises the main drivers behind ISO/IEC 42001 as presented in GAICC Foundation Module 1?

                  Answer: C

                  Explanation:
                  Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
                  The inception and rapid global adoption of ISO/IEC 42001 are driven by the intersection of four critical operational forces: evolving legal compliance (such as the EU AI Act and emerging national frameworks), rigorous commercial procurement diligence, acute reputational risks stemming from publicized model failures, and the expanding delegation of high-stakes, consequential decisions to autonomous systems.
                  Informal corporate AI ethics statements lack enforceable verification, audit mechanisms, and systematic lifecycle controls, often inviting accusations of " ethics washing. " In contrast, ISO/IEC 42001 addresses these mounting industry pressures by codifying an internationally auditable standard. Organizations implement the standard to prove governance rigor to enterprise buyers, withstand regulatory audits, prevent systemic operational harms, and safeguard enterprise reputation through documented, verifiable conformity.
                  Reference: ISO/IEC 42001:2023 Introduction; GAICC Foundation Module 1 (Business & Regulatory Drivers for AI Governance).


                  NEW QUESTION # 43
                  ......

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