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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%- Structure and Clauses of ISO/IEC 42001
  • 1. Requirements covered by Clauses 4–10
    • 2. Plan-Do-Check-Act (PDCA) cycle
      • 3. Structure and sequence of ISO/IEC 42001
        - Purpose and Scope of ISO/IEC 42001
        • 1. Alignment with ethical AI principles and sustainable digital transformation
          • 2. Organizational adoption of AI governance frameworks
            • 3. Purpose and objectives of the Artificial Intelligence Management System (AIMS)
              - 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
                          - Risk-Based Thinking in AI Governance
                          • 1. Identification of AI-related risks
                            • 2. AI risk assessment and mitigation
                              • 3. Integration of AI risks with organizational objectives
                                Topic 2: Core Components of the Artificial Intelligence Management System (AIMS)40%- AI Policy and Organizational Values
                                • 1. Purpose and role of an AI policy
                                  • 2. Leadership commitment to fairness and transparency
                                    • 3. Integration of AI risk management into organizational values
                                      - 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. AI system monitoring
                                                  • 4. Continual improvement through the PDCA cycle
                                                    - Main Requirements of ISO/IEC 42001 Clauses 4–10
                                                    • 1. Improvement
                                                      • 2. Operation
                                                        • 3. Performance evaluation
                                                          • 4. Planning
                                                            • 5. Support
                                                              • 6. Context of the organization
                                                                • 7. Leadership
                                                                  - AI Risk and Impact Assessments
                                                                  • 1. AI impact assessment documentation
                                                                    • 2. AI risk assessment concepts
                                                                      • 3. AI System Impact Assessment (AI-SIA)
                                                                        Topic 3: Responsible AI, Ethics, and Stakeholder Awareness20%- Ethical Principles of Responsible AI
                                                                        • 1. Accountability
                                                                          • 2. Human oversight
                                                                            • 3. Fairness and non-discrimination
                                                                              • 4. Privacy
                                                                                - Transparency and Explainability in AI Systems
                                                                                • 1. Understandable AI decisions for users and regulators
                                                                                  • 2. Transparency in AI systems
                                                                                    • 3. Explainability of AI decisions
                                                                                      - Communication, Stakeholder Engagement, and Trust
                                                                                      • 1. Building trust through stakeholder engagement
                                                                                        • 2. AI ethics statements
                                                                                          • 3. Public disclosures and stakeholder communication
                                                                                            • 4. Responsible AI policies
                                                                                              - Stakeholder Roles in AI Governance
                                                                                              • 1. Internal stakeholders
                                                                                                • Organizational leadership
                                                                                                • AI developers
                                                                                                • Compliance teams
                                                                                              • 2. External stakeholders
                                                                                                • Customers
                                                                                                • Regulators
                                                                                                • Society

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                                                                                              GAICC ISO/IEC 42001 Foundation Sample Questions (Q33-Q38):

                                                                                              NEW QUESTION # 33
                                                                                              A logistics company has implemented an AI system that recommends staffing levels for warehouse shifts. The user interface shows each recommendation with an ' Approve ' button. In practice, shift managers approve every recommendation within seconds because the system rarely surfaces context, and the interface does not let managers see the inputs that drove the decision. Reviewing this for responsible-AI conformance, which observation BEST reflects the human-oversight principle from ISO/IEC 42001 Annex B?

                                                                                              Answer: D

                                                                                              Explanation:
                                                                                              Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
                                                                                              Annex B of ISO/IEC 42001 and control domain A.8 delineate that human oversight must be substantive and effective rather than superficial or performative. Simply inserting an " Approve " button into a user interface creates an illusion of human-in-the-loop control, especially when human reviewers succumb to automation bias due to lack of contextual input data, rationale transparency, and adequate review time. Under the standard's human agency and oversight principles, supervisory personnel must be equipped with intelligible operational context, actionable confidence scores, and accessible input telemetry to exercise genuine independent judgment, validate outputs, and execute overrides when necessary. Superficial approval workflows fail the governance criteria established by ISO/IEC 42001 for responsible algorithmic deployment.
                                                                                              Reference: ISO/IEC 42001:2023 Annex B.4 (Human oversight); Annex A.8 (AI system operations); GAICC Foundation Module 6 (Human-in-the-Loop & Oversight Architectures).


                                                                                              NEW QUESTION # 34
                                                                                              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: 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 # 35
                                                                                              During a Foundation classroom exercise, learners are asked to sort four short documents into the categories defined by ISO/IEC 42001. One document is a one-page statement signed by the chief executive that sets direction for responsible AI use, commits to applicable requirements, and commits to continual improvement of the AIMS. Three other documents describe controls, model training procedures, and an incident log. Which categorisation of the signed one-page statement is BEST aligned with Clause 5.2?

                                                                                              Answer: C

                                                                                              Explanation:
                                                                                              Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
                                                                                              The signed executive document fulfills all core statutory requirements specified in ISO/IEC 42001 Clause 5.2 (AI Policy). Under Clause 5.2, top management must establish an AI policy that is appropriate to the purpose of the organization, provides a framework for setting AI objectives, includes a commitment to satisfy applicable requirements, and includes a commitment to continual improvement of the AIMS. A formal policy is an overarching governance instrument demonstrating leadership intent, unlike operational procedures (which govern algorithmic training, testing, or incident response), impact assessments (which analyze discrete systems), or control implementation records (which document technical mitigations). Furthermore, while management review minutes (Clause 9.3) contain strategic decisions and resource actions, the baseline governance commitments defined here represent the foundational policy instrument itself.
                                                                                              Reference: ISO/IEC 42001:2023 Clause 5.2 (AI policy); GAICC Foundation Module 5 (Governance Instruments and Policy Documentation).


                                                                                              NEW QUESTION # 36
                                                                                              A health-tech startup deploys a chatbot that answers patient questions about symptom management. Internally the team uses a large language model behind the chatbot but the public interface does not indicate that the responses are AI-generated. The product manager argues that disclosure would reduce user trust. The AI governance lead disagrees on responsible-AI grounds. Which response BEST reflects the transparency principle in ISO/IEC 42001 Annex B and related Annex A controls?

                                                                                              Answer: B

                                                                                              Explanation:
                                                                                              Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
                                                                                              Under ISO/IEC 42001 Annex B (Transparency and Explainability) and the control objectives outlined in Annex A (specifically domain A.8 regarding AI system operation and transparency to interested parties), deploying an AI interface that conceals its non-human nature from end-users directly contravenes responsible AI requirements. In healthcare and clinical-adjacent workflows, end-users make critical personal decisions based on system responses. Transparency requires that individuals interacting directly with an AI system are explicitly notified that they are engaging with artificial intelligence, unless obvious from context.
                                                                                              Furthermore, disclosure must be meaningful: it should articulate the system ' s intended purpose, its technical and diagnostic limitations, and points of contact for human escalation, delivered in plain, accessible language directly at the interface level. Concealing AI operation, burying disclaimers within obscure corporate privacy policies, or relying solely on technical engineering blog posts fails the standard ' s transparency mandate.
                                                                                              Reference: ISO/IEC 42001:2023 Annex B.5 (Transparency and explainability); Control Domain A.8 (AI system operations); GAICC Foundation Module 6 (Transparency, Disclosure, and User Trust).


                                                                                              NEW QUESTION # 37
                                                                                              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 # 38
                                                                                              ......

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