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

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

Section

Weight

Objectives

Topic 1: Core Components of the Artificial Intelligence Management System (AIMS)

40%

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

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

- Performance Evaluation and Continual Improvement

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

- AI Policy and Organizational Values

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

- Operational Controls and Documentation Requirements

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

- AI Risk and Impact Assessments

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

Topic 2: 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. Structure and sequence of ISO/IEC 42001
3. Plan-Do-Check-Act (PDCA) cycle

- Risk-Based Thinking in AI Governance

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

- 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

- Relationship Between ISO/IEC 42001 and Other Management Standards

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

- Purpose and Scope of ISO/IEC 42001

1. Purpose and objectives of the Artificial Intelligence Management System (AIMS)
2. Alignment with ethical AI principles and sustainable digital transformation
3. Organizational adoption of AI governance frameworks

Topic 3: Responsible AI, Ethics, and Stakeholder Awareness

20%

- Communication, Stakeholder Engagement, and Trust

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

- Stakeholder Roles in AI Governance

1. Internal stakeholders
- Organizational leadership
- AI developers
- Compliance teams
2. External stakeholders
- Customers
- Regulators
- Society

- Ethical Principles of Responsible AI

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

- Transparency and Explainability in AI Systems

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

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

NEW QUESTION # 38
A multinational manufacturer is debating whether to put its Clause 4.3 scope statement in writing or simply describe it verbally to its certification body. The internal auditor reminds the team of an expectation set out in Clause 4.3 and reinforced in GAICC Foundation Module 4. Which statement BEST reflects that expectation?

A. An oral description supplied to the lead auditor during the opening meeting of the Stage 2 certification audit is sufficient to satisfy the Clause 4.3 scope expectation.
B. The AIMS scope must be available as documented information so that interested parties, including the audit team, can understand what is included and what is excluded.
C. Scope is implicit in the AI inventory, so a separate scope statement is unnecessary provided that the AI inventory is current and accessible to the external auditor.
D. The certification body is required to draft the AIMS scope statement on the organisation ' s behalf, based on documents it inspects during the Stage 1 documentation review.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Clause 4.3 (Determining the scope of the AI management system) concludes with an explicit normative requirement: " The scope shall be available as documented information. " In management system auditing under ISO/IEC 17021-1, documented information provides objective, verifiable evidence establishing the exact organizational, technical, physical, and geographical boundaries under assessment. Certification bodies cannot certify an undocumented or verbal scope statement; auditors evaluate conformity against the defined boundaries set out in the documented scope during Stage 1 and Stage 2 audits. A dynamic model inventory lists technical assets, but it does not establish organizational governance perimeters or provide justified rationales for exclusions. Moreover, certification bodies are prohibited by accreditation rules from drafting or authoring the scope on an auditee's behalf, as doing so compromises their independence and impartiality.
Reference: ISO/IEC 42001:2023 Clause 4.3; Clause 7.5 (Documented information); GAICC Foundation Module 4 (AIMS Scope Boundaries & Documented Information).

NEW QUESTION # 39
A travel platform plans to train a recommendation model on five years of customer booking history, including names, contact details, and trip itineraries. The data-protection officer raises concerns about training-data use.
The AI governance lead is asked how ISO/IEC 42001 treats the relationship between AI management and personal-data protection. Which response BEST reflects the standard ' s intent on privacy as a responsible-AI consideration?

A. Personal-data protection sits entirely outside the AIMS because ISO/IEC 42001 governs AI systems and applicable privacy laws govern personal data, so the two regimes operate independently with no expectation of coordination across them.
B. The AI governance lead should remove privacy considerations from the AI System Impact Assessment scope and refer them to the privacy officer for a parallel assessment, with no formal linkage between the two assessment processes maintained within the AIMS records.
C. Personal-data protection is a relevant input to the AI System Impact Assessment under Clause 6.1.4, and the AIMS should coordinate with applicable privacy obligations rather than treating data protection as a separate concern outside the scope of AI governance.
D. The AIMS should record an exception noting that training data is exempt from privacy review on grounds of model improvement, since pursuit of model accuracy provides a legitimate operational basis for the platform ' s use of historical booking information in training.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
ISO/IEC 42001 explicitly integrates data protection and privacy within its governance requirements. Under Clause 6.1.4 (AI system impact assessment), Clause 4.2 (Compliance obligations), and Annex A domain A.7 (Data for AI systems), privacy considerations are recognized as critical inputs to responsible AI management.
AI models trained on personal booking records present significant risks regarding data repurposing, re- identification, model inversion attacks, and non-compliance with data protection legislation (such as GDPR or regional equivalents). Rather than siloing AI governance from data privacy, the standard mandates active coordination. AI risk and impact assessments must evaluate privacy risks, enforce data minimization and pseudonymization, and document lawful processing baselines within the AIMS. Treating privacy as completely isolated from AI oversight or asserting unilateral exemptions for training activities directly violates the standard.
Reference: ISO/IEC 42001:2023 Clause 6.1.4; Control Domain A.7; Annex B.6 (Privacy); GAICC Foundation Module 7 (Data Protection, Privacy, and Model Lifecycle Governance).

NEW QUESTION # 40
A documentation lead is preparing a one-page reference for new joiners that names the four annexes of ISO
/IEC 42001 and their purpose. She wants the description that aligns with GAICC Foundation Module 3.
Which option BEST matches the role of each annex in the standard?

A. Annex A is a list of accredited certification bodies; Annex B is a Stage 2 audit checklist; Annex C is a Statement of Applicability template; Annex D is a financial impact assessment model.
B. Annex A is a published list of certified consultants; Annex B is the official EU AI Act mapping; Annex C is a sample AI policy template; Annex D is the standard ' s revision history log.
C. Annex A maps ISO/IEC 42001 to ISO 9001 directly; Annex B is a vocabulary appendix; Annex C is a sample Statement of Applicability; Annex D is a glossary of regional AI regulations.
D. Annex A is the reference control set; Annex B is implementation guidance; Annex C catalogues AI- related objectives and risk sources; Annex D shows integration with other management system standards.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
ISO/IEC 42001 contains four structured annexes designed to assist organizations in architecting and operationalizing their AIMS. Annex A provides the normative reference control set containing 38 control objectives and controls divided into domains (A.2 through A.10). Annex B provides informative guidance for implementing these controls, detailing best practices for human oversight, transparency, and data governance.
Annex C catalogues potential AI-related organizational objectives, use cases, and distinct risk sources (such as algorithmic bias, safety failures, and intellectual property infringement). Finally, Annex D provides informative mapping and integration guidance, illustrating how ISO/IEC 42001 aligns with and complements other established management system standards like ISO 9001 (Quality) and ISO/IEC 27001 (Information Security).
Reference: ISO/IEC 42001:2023 Annexes A, B, C, and D; GAICC Foundation Module 3 (Standard Architecture and Annex Structural Roles).

NEW QUESTION # 41
A foundation case workshop closes with a scenario in which a charity is about to launch an AI tool that helps caseworkers prioritise vulnerable-client outreach. The AIMS lead is asked which set of considerations the launch checklist should reflect, drawing on the responsible-AI principles in ISO/IEC 42001 Annex B together with the relevant management-system clauses. Which response BEST integrates the standard ' s expectations for a deployment of this kind?

A. Postpone any structured impact assessment until after the first quarter of operational data has been gathered, on the basis that the charity will be better placed to evaluate impact once real-world caseworker usage patterns and outcome distributions have been observed.
B. Verify the model ' s predictive accuracy meets the agreed target, document the result in a one-page summary signed by the head of technology, and proceed to launch without further reference to other responsible-AI considerations for this charitable use case.
C. Complete an AI System Impact Assessment under Clause 6.1.4 covering fairness, transparency, human oversight, privacy, and safety considerations, define acceptance criteria, assign role responsibilities, and gain documented approval before launch.
D. Confirm that the vendor has provided a model card, treat that document as a complete responsible-AI record for the deployment, and rely on the vendor ' s representations rather than performing an internal review of the model ' s fitness for the charity ' s specific population of clients.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Deploying an algorithm that affects vulnerable individuals requires an end-to-end integration of risk treatment, ethical safeguards, and management system governance. Clause 6.1.4 (AI system impact assessment) mandates that organizations establish, implement, and maintain processes for assessing the potential impacts of the AI system on individuals, groups, and society. In a high-consequence charitable triage scenario, impact assessment cannot be deferred until post-deployment or reduced solely to verifying statistical accuracy. The assessment must evaluate core responsible AI principles outlined in Annex B, including fairness across marginalized subgroups, human oversight to ensure caseworkers retain override discretion, transparency regarding prioritization criteria, data privacy, and unintended harms. Deploying entities must define objective acceptance thresholds, formally assign operational monitoring responsibilities under Clause
5.3, and obtain sign-off before operational launch.
Reference: ISO/IEC 42001:2023 Clause 6.1.4 (AI system impact assessment); Annex B (Guidance on responsible AI principles); GAICC Foundation Module 7 (AI Impact Assessment & Lifecycle Governance).

NEW QUESTION # 42
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 Monitoring and Surveillance-the runtime telemetry layer that watches deployed AI models for performance drift, anomalous outputs, and integrity breaches.
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. AI Impact Mitigation Strategy-the documented plan describing how an organisation will treat residual AI risks identified through impact assessment activities.
D. Audit Integrity Maintenance Schedule-the calendar that governs internal audit cadence, surveillance audits, and recertification audits across a three-year cycle.

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 # 43
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