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

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

Section

Weight

Objectives

Topic 1: Responsible AI, Ethics, and Stakeholder Awareness

20%

- Transparency and Explainability in AI Systems

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

- Ethical Principles of Responsible AI

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

- Communication, Stakeholder Engagement, and Trust

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

- Stakeholder Roles in AI Governance

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

Topic 2: Fundamentals of AI Governance and the ISO/IEC 42001 Framework

40%

- Key Terms and Definitions Related to AI Governance

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

- Relationship Between ISO/IEC 42001 and Other Management Standards

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

- Risk-Based Thinking in AI Governance

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

- 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

- Purpose and Scope of ISO/IEC 42001

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

Topic 3: 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. Corrective actions
4. Internal reviews

- 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

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

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

- Operational Controls and Documentation Requirements

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

- AI Risk and Impact Assessments

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

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

NEW QUESTION # 41
A consultancy is helping a healthcare provider plan its ISO/IEC 42001 certification scope. The provider operates many business units but wants to certify only the AIMS covering its radiology AI triage service. The auditor warns that any exclusion from the certification scope must meet a specific expectation described in GAICC Foundation Module 2 and Clause 4.3. Which statement BEST captures that expectation?

A. Exclusions are decided exclusively by the certification body during the Stage 1 audit, based on a sampling review of the organisation ' s AI inventory and risk register.
B. Exclusions must be supported by a documented justification linked to context, interested parties, and AI roles, rather than being stated without rationale in the scope statement.
C. Exclusions may be declared at the discretion of top management and recorded in meeting minutes, with no further documentation required for the external certification audit.
D. Exclusions are not permitted under ISO/IEC 42001, so the entire organisation must be brought into the certification scope before a Stage 1 audit can commence.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Under ISO/IEC 42001 Clause 4.3, an organization has the architectural freedom to define its certification boundaries to cover the entire enterprise, specific operational divisions, or individual AI products and services (such as a radiology triage tool). However, scoping is not arbitrary. The standard explicitly requires that when an organization narrows its scope or excludes specific operational activities, business units, or AI systems, every exclusion must be explicitly documented and supported by a robust, defensible justification. This rationale must demonstrate that exclusions do not compromise the organization ' s ability to satisfy applicable requirements, evade relevant AI risks, or ignore the legitimate expectations of affected interested parties identified under Clause 4.2. An unsupported exclusion will be challenged as an audit finding during Stage 1 conformity assessments.
Reference: ISO/IEC 42001:2023 Clause 4.3 (Determining the scope of the AI management system); GAICC Foundation Module 2 (Scoping Principles, Boundaries, and Exclusions).
Batch 3: Questions 21 to 30

NEW QUESTION # 42
An IT director is finalising the certification scope statement for his organisation ' s AIMS. He has been told that ISO/IEC 42001 is built on the Harmonized Structure used by other ISO management system standards.
According to GAICC Foundation Module 2, which clauses of ISO/IEC 42001 contain the auditable management system requirements?

A. Clauses 4 through 10, which carry the management system requirements that an external audit assesses for conformity against the standard.
B. Annexes A, B, C, and D, which are the principal sources of audit findings during a Stage 2 certification audit against an ISO management system standard.
C. Clauses 1, 2, and 3, which together set scope, normative references, and terms-the binding requirements that an audit team checks for conformity.
D. Clause 6 by itself, since it covers planning, risk assessment, and AI System Impact Assessment, which are the AI-specific elements that auditors evaluate.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Like all modern ISO management system standards developed under ISO/IEC Directives Part 1 (such as ISO
9001, ISO/IEC 27001, and ISO 14001), ISO/IEC 42001 utilizes the standardized Harmonized Structure (formerly High-Level Structure / Annex SL). Within this universal structure, Clauses 1, 2, and 3 provide introductory context, normative references, and formal terminology definitions, respectively; they do not contain auditable management system requirements. The formal, auditable requirements against which external conformity assessment bodies evaluate an organization reside exclusively within Clauses 4 through
10: Context of the organization (4), Leadership (5), Planning (6), Support (7), Operation (8), Performance evaluation (9), and Improvement (10). While Annex A supplies reference controls assessed via the Statement of Applicability under Clause 6.1.3, the primary audit criteria are embedded within the core requirements of Clauses 4 through 10.
Reference: ISO/IEC 42001:2023 Clauses 4-10; GAICC Foundation Module 2 (Harmonized Structure & Standard Architecture).

NEW QUESTION # 43
A retail bank is preparing to deploy a new AI tool that ranks loan applicants by predicted creditworthiness.
The model was trained on five years of historical lending data drawn from a single metropolitan region.
Before go-live, the AIMS lead must propose a fairness check consistent with ISO/IEC 42001 expectations on responsible AI. Which approach BEST reflects the standard ' s intent for bias detection during AI system impact assessment?

A. Wait for the first quarter of live decisions to accumulate, then run a retrospective fairness analysis on actual decision outcomes, since live data is more representative than any test data the bank could realistically assemble in a development environment.
B. Document an assumption in the AI System Impact Assessment that historical lending data is representative of the wider applicant population and proceed to deployment, with no quantitative fairness testing of model outputs prior to release.
C. Restrict the deployment to a single business unit for the first month, with no formal pre-launch fairness testing, and rely on customer complaints to surface unfair outcomes for downstream investigation by the responsible model team.
D. Evaluate predicted-outcome disparities across protected groups using pre-defined fairness metrics, document the results in the AI System Impact Assessment, and confirm acceptance criteria are met before approving the model for deployment.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
In algorithmic lending, bias poses significant legal, regulatory, and ethical risks. Under ISO/IEC 42001 Clause 6.1.4 and Annex A.7 (Data for AI systems), organizations deploying consequential decision-making tools must institute rigorous pre-deployment evaluation processes. Because historical datasets frequently encode institutional disparities and regional sampling imbalances, the organization must establish clear, quantifiable fairness acceptance criteria (such as disparate impact ratios, demographic parity, or equalized odds metrics). Model performance across relevant demographic and protected classes must be measured against these predefined thresholds. The findings, trade-offs, and mitigation strategies must be documented within the AI System Impact Assessment record before production release. Deferring testing until post-launch complaints emerge or relying on unverified assumptions violates the core risk prevention and impact governance mandates of the standard.
Reference: ISO/IEC 42001:2023 Clause 6.1.4; Annex B.3 (Fairness); Control Domain A.7; GAICC Foundation Module 6 (Algorithmic Fairness and Quantitative Evaluation).

NEW QUESTION # 44
A government agency is establishing AIMS roles for its first ISO/IEC 42001 implementation. The chief information officer proposes that the AI Ethics Committee, made up of subject-matter experts drawn from across business units, owns AIMS performance reporting. The chief legal officer suggests the role sits with the procurement team because most AI tools are vendor-supplied. A foundation learner is asked what Clause
5.3 actually requires for the reporting-on-performance responsibility. Which response is BEST?

A. Reporting on AIMS performance should sit with the procurement team, because vendor-supplied AI tools dominate the agency ' s portfolio and procurement holds the contractual levers needed to manage supplier obligations through purchase agreements.
B. Reporting on AIMS performance should be split between the AI Ethics Committee and the procurement team on a shared-accountability basis, with each function presenting its segment of performance data to top management at separate review meetings each quarter.
C. Top management must assign the responsibility and authority for reporting on the performance of the AIMS to a specific role or roles, and that assignment must be communicated within the organisation so the reporting line is unambiguous.
D. Reporting on AIMS performance can rest with the AI Ethics Committee in its current advisory form, since cross-functional expertise is well placed to interpret AI risk and benefit signals across the agency ' s varied business areas and to provide nuanced commentary.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Clause 5.3 (Organizational roles, responsibilities and authorities) requires top management to ensure that responsibilities and authorities for reporting on the performance of the AI management system to top management are formally assigned and communicated throughout the organization. The standard intentionally does not dictate the organizational title or functional department where this role must reside-it can be assigned to an AI Ethics Officer, Chief AI Officer, Head of Compliance, or a dedicated steering committee lead-provided the assignment is formally defined, backed by appropriate authority, and clearly communicated to eliminate ambiguity. Leaving governance reporting dispersed across uncoordinated committees or shared informally across multiple departments without clear ownership creates organizational blind spots, conflicting reporting streams, and accountability gaps.
Reference: ISO/IEC 42001:2023 Clause 5.3 (Organizational roles, responsibilities and authorities); GAICC Foundation Module 5 (Structural Roles, Reporting Lines, and Operational Authority).
Batch 4: Questions 31 to 40

NEW QUESTION # 45
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?

A. The external and internal issues from Clause 4.1, the requirements of interested parties from Clause 4.2, and the organisation ' s AI-related roles, services, and dependencies.
B. The five-step certification application pathway, including the twelve-month eligibility window opened on the date the certification application is approved by GAICC.
C. The Continuing Professional Development requirements for personnel certified under the GAICC Foundation credential, since scope is governed by personnel certification cycles.
D. Just the AI inventory and the geographies of deployment, since Clause 4.3 is concerned with describing technical assets and the regions in which they are operated.

Answer: A

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 # 46
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