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

Section	Weight	Objectives
Topic 1: Fundamentals of AI Governance and the ISO/IEC 42001 Framework	40%	- Risk-Based Thinking in AI Governance 1. Identification of AI-related risks 2. Integration of AI risks with organizational objectives 3. AI risk assessment and mitigation - 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 4–10 - Relationship Between ISO/IEC 42001 and Other Management Standards 1. Relationship with ISO/IEC 27701 2. Relationship with ISO 9001 3. Relationship with ISO/IEC 27001 - Key Terms and Definitions Related to AI Governance 1. Artificial Intelligence Management System (AIMS) 2. Accountability, bias, and transparency 3. AI lifecycle and continual improvement - 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
Topic 2: Core Components of the Artificial Intelligence Management System (AIMS)	40%	- Performance Evaluation and Continual Improvement 1. AI system monitoring 2. Continual improvement through the PDCA cycle 3. Internal reviews 4. Corrective actions - AI Policy and Organizational Values 1. Integration of AI risk management into organizational values 2. Purpose and role of an AI policy 3. Leadership commitment to fairness and transparency - Main Requirements of ISO/IEC 42001 Clauses 4–10 1. Planning 2. Improvement 3. Performance evaluation 4. Leadership 5. Context of the organization 6. Support 7. Operation - AI Risk and Impact Assessments 1. AI risk assessment concepts 2. AI System Impact Assessment (AI-SIA) 3. AI impact assessment documentation - Operational Controls and Documentation Requirements 1. Data governance procedures 2. AI incident logs and operational documentation 3. AI model change records
Topic 3: Responsible AI, Ethics, and Stakeholder Awareness	20%	- 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. Explainability of AI decisions 2. Understandable AI decisions for users and regulators 3. Transparency in AI systems - Ethical Principles of Responsible AI 1. Accountability 2. Fairness and non-discrimination 3. Privacy 4. Human oversight - Communication, Stakeholder Engagement, and Trust 1. AI ethics statements 2. Responsible AI policies 3. Building trust through stakeholder engagement 4. Public disclosures and stakeholder communication

Section

Weight

Objectives

Topic 1: Fundamentals of AI Governance and the ISO/IEC 42001 Framework

40%

- Risk-Based Thinking in AI Governance

1. Identification of AI-related risks
2. Integration of AI risks with organizational objectives
3. AI risk assessment and mitigation

- 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 4–10

- Relationship Between ISO/IEC 42001 and Other Management Standards

1. Relationship with ISO/IEC 27701
2. Relationship with ISO 9001
3. Relationship with ISO/IEC 27001

- Key Terms and Definitions Related to AI Governance

1. Artificial Intelligence Management System (AIMS)
2. Accountability, bias, and transparency
3. AI lifecycle and continual improvement

- 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

Topic 2: Core Components of the Artificial Intelligence Management System (AIMS)

40%

- Performance Evaluation and Continual Improvement

1. AI system monitoring
2. Continual improvement through the PDCA cycle
3. Internal reviews
4. Corrective actions

- AI Policy and Organizational Values

1. Integration of AI risk management into organizational values
2. Purpose and role of an AI policy
3. Leadership commitment to fairness and transparency

- Main Requirements of ISO/IEC 42001 Clauses 4–10

1. Planning
2. Improvement
3. Performance evaluation
4. Leadership
5. Context of the organization
6. Support
7. Operation

- AI Risk and Impact Assessments

1. AI risk assessment concepts
2. AI System Impact Assessment (AI-SIA)
3. AI impact assessment documentation

- Operational Controls and Documentation Requirements

1. Data governance procedures
2. AI incident logs and operational documentation
3. AI model change records

Topic 3: Responsible AI, Ethics, and Stakeholder Awareness

20%

- 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. Explainability of AI decisions
2. Understandable AI decisions for users and regulators
3. Transparency in AI systems

- Ethical Principles of Responsible AI

1. Accountability
2. Fairness and non-discrimination
3. Privacy
4. Human oversight

- Communication, Stakeholder Engagement, and Trust

1. AI ethics statements
2. Responsible AI policies
3. Building trust through stakeholder engagement
4. Public disclosures and stakeholder communication

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GAICC ISO/IEC 42001 Foundation Sample Questions (Q41-Q46):

NEW QUESTION # 41
A telecommunications operator is choosing between two architectures for a customer-service AI assistant.
Option A retrains a very large foundation model weekly on internal data; Option B fine-tunes a substantially smaller model monthly. Both meet functional accuracy requirements. The AIMS lead is asked how ISO/IEC
42001 treats environmental considerations when an organisation selects an AI design. Which response BEST reflects the standard ' s intent?

A. Environmental impact should be evaluated by the cloud provider rather than the operator, since the provider operates the underlying infrastructure and is better placed than the operator to compare the relative carbon profiles of competing architectures.
B. Environmental considerations sit outside the AIMS and belong with the corporate sustainability team, so the AI architecture decision should be driven purely by functional accuracy and time-to-market without consideration of energy or compute footprint.
C. Environmental impact is among the considerations the AI System Impact Assessment is expected to address, so the operator should evaluate the energy and compute footprint of each option alongside functional performance before approving an architecture.
D. Environmental impact considerations apply solely to AI systems that perform climate-related functions such as emissions forecasting; for a customer service assistant the environmental dimension of architecture choice falls outside the relevant scope.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
ISO/IEC 42001 establishes an operational framework that integrates societal and environmental dimensions directly into the engineering and procurement lifecycle of AI systems. Under Clause 6.1.4 (AI System Impact Assessment) and the reference controls in Annex A (specifically domain A.6 regarding resource management and AI lifecycle governance), organizations must assess the broader ramifications of system deployment. This includes evaluating the compute intensity, power consumption, data storage volume, and resulting carbon footprint of competing model designs. An organization cannot abdicate environmental due diligence to a hyperscaler or corporate sustainability committee; the AIMS requires technical decision-makers to evaluate whether excessive computational consumption is disproportionate to functional performance gains.
Comparing retraining cadences and model parameter scale against sustainable resource objectives directly supports responsible AI development and lifecycle optimization.
Reference: ISO/IEC 42001:2023 Clause 6.1.4 (AI system impact assessment); Annex A.6; GAICC Foundation Module 7 (AI Impact Assessment & Societal Considerations).

NEW QUESTION # 42
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 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.
C. 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.
D. 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.

Answer: B

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 # 43
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. 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.
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. 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.
D. 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.

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 # 44
A new compliance analyst is reading ISO/IEC 42001 for the first time and asks her mentor what the acronym ' AIMS ' stands for in the context of this standard. According to Clause 3 and GAICC Foundation Module 3, which option provides the correct expansion?

A. AI Impact Mitigation Strategy-the documented plan describing how an organisation will treat residual AI risks identified through impact assessment activities.
B. AI Management System-the set of interrelated elements an organisation uses to establish policies and objectives for its AI activities and the processes to achieve them.
C. Audit Integrity Maintenance Schedule-the calendar that governs internal audit cadence, surveillance audits, and recertification audits across a three-year cycle.
D. AI Monitoring and Surveillance-the runtime telemetry layer that watches deployed AI models for performance drift, anomalous outputs, and integrity breaches.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
In accordance with ISO/IEC 42001 Clause 3 (Terms and definitions) and the Harmonized Structure common to all modern ISO management system standards, the acronym " AIMS " formally stands for " Artificial Intelligence Management System. " Clause 3 defines a management system as a set of interrelated or interacting elements of an organization to establish policies and objectives, as well as processes to achieve those objectives. Therefore, the AIMS encompasses the governance framework, policies, structural controls, operational lifecycles, risk management methodologies, impact assessment mechanisms, and continuous improvement loops established to direct, govern, and control an entity's AI-related undertakings. It must not be conflated with point-in-time runtime telemetry platforms (AI monitoring), risk treatment blueprints, or audit scheduling timelines.
Reference: ISO/IEC 42001:2023 Clause 3.1; GAICC Foundation Module 3 (Vocabulary, Concepts, and Structural Frameworks).
Batch 2: Questions 11 to 20

NEW QUESTION # 45
A foundation candidate is asked to identify which attributes an AI policy must include to satisfy ISO/IEC
42001 Clause 5.2. The candidate is given four short summary statements about an AI policy drafted by a logistics company that uses route-optimisation and demand-forecast models. The policy is one printed page, signed by the chief executive, and posted on the staff intranet. Which summary BEST reflects the minimum attributes Clause 5.2 requires of a documented AI policy?

A. The policy promises to obtain ISO/IEC 42001 certification within twelve months, names the chosen certification body, and commits the chief executive to attend each surveillance audit in person to answer auditor questions.
B. The policy mirrors the wording of the EU AI Act in full, copies the relevant sections of the local privacy statute verbatim, and republishes the text of Annex A controls so staff have one combined reference document.
C. The policy is appropriate to the organisation ' s purpose, provides a framework for AI objectives, commits to satisfying applicable requirements, and commits to continual improvement of the AI management system.
D. The policy lists every AI model the organisation operates, names the data scientist accountable for each model, and specifies the exact retraining cadence in months for the algorithms used by the logistics planning team.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Clause 5.2 (AI Policy) defines four mandatory statutory criteria that top management must satisfy when formulating the documented AI policy. Specifically, the AI policy must: (a) be appropriate to the purpose and context of the organization; (b) provide a structured framework for setting AI objectives; (c) include a formal commitment to satisfy applicable legal, statutory, regulatory, and contractual requirements; and (d) include a clear commitment to the continual improvement of the AI management system. The policy is an executive- level strategic commitment rather than a granular technical asset inventory or model configuration logbook.
Prescribing operational model parameters, copying external legislation verbatim, or committing to prospective audit timelines conflates operational procedures with core leadership governance policies.
Reference: ISO/IEC 42001:2023 Clause 5.2 (AI policy); GAICC Foundation Module 5 (Policy Formulation & Strategic Intent).

NEW QUESTION # 46
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