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| Section | Weight | Objectives |
|---|
| Topic 1: Fundamentals of AI Governance and the ISO/IEC 42001 Framework | 40% | - 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 Awareness | 20% | - 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?
- A. The approve-button workflow satisfies human-oversight expectations because a human is in the loop for every staffing decision, and the speed of approvals reflects the efficiency gains of well-designed AI tooling rather than a control weakness in the deployed interface.
- B. Human oversight should be removed in favour of fully automated approvals on grounds of consistency, with sample audits performed monthly by the operations team to verify that the system ' s recommendations remain reasonable across the warehouse network over time.
- C. Human oversight is not engaged here because shift staffing is a low-risk operational decision; Annex B
' s oversight principle applies primarily to high-risk AI systems such as those that affect safety or fundamental rights, so the interface design issue is immaterial. - D. The oversight is not meaningful because managers lack the information and context needed to challenge or override the recommendation, so the design provides the appearance of human control without the substance Annex B ' s human-oversight principle expects.
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?
- A. A broad range that includes customers, regulators, employees, data subjects, suppliers, the public, and communities affected by the organisation ' s AI activities.
- B. 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. - C. External certification body auditors and the accreditation body, since interested parties under Clause 4.2 captures the assurance ecosystem that audits the AIMS.
- D. Customers and competent regulatory authorities, since interested parties under Clause 4.2 are deliberately restricted to entities with formal commercial or statutory relationships.
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?
- A. It is an AI system impact assessment summary, because it sets out the organisation ' s intended position on responsible AI use at a level that informs the impact-assessment scoring rubric for individual systems.
- B. It is a management-review output captured under Clause 9.3, since the chief executive has signed it and the document expresses commitments at a strategic level appropriate to a periodic review of the management system.
- C. It is the AI policy required by Clause 5.2, because top management has documented direction for AI, set a framework for objectives, and committed to satisfying applicable requirements and to continual improvement.
- D. It is an Annex A control implementation record, since it describes how the organisation intends to apply selected controls drawn from the Annex A reference set during the operational phase of the management system.
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?
- A. Add a footnote to the corporate website ' s privacy policy stating that the company uses AI in some of its products, without further disclosure inside the chatbot interface itself, so that transparency is technically addressed at the organisation level.
- B. Disclose to users that the chatbot is an AI system, describe its intended purpose and limitations in plain language, and make this information accessible at the point of interaction so that users can make informed choices about using it.
- C. Withhold the AI nature of the chatbot from users to preserve trust during the launch period, on the basis that disclosing AI involvement could discourage patients from using a tool that the team believes will benefit them medically over time.
- D. Publish a detailed technical specification of the model architecture and training procedure on the company ' s developer blog and treat that publication as sufficient transparency for end users who interact with the chatbot through the patient-facing interface.
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?
- A. Defer further action until the firm has accumulated several months of live experience with the portfolio- recommendation tool, on the basis that risk and impact assessments are more accurate when informed by post-deployment operational data points.
- B. Re-sign the AI policy in front of staff at the next quarterly town-hall meeting to demonstrate leadership commitment, on the basis that visible re-signing reinforces the message conveyed by the original signature at policy adoption.
- C. Print and laminate the signed policy for display in the office reception area, then distribute copies to each adviser ' s desk so that the document is visible during client meetings held in the firm ' s premises across the next quarter.
- D. Conduct an AI risk assessment under Clause 6.1.2 and an AI System Impact Assessment under Clause
6.1.4 for the portfolio-recommendation tool, then plan risk treatment with controls aligned to the policy
' s commitments.
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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