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

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

Section

Weight

Objectives

Fundamentals of AI Governance and the ISO/IEC 42001 Framework

40%

- 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

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

- Key Terms and Definitions Related to AI Governance

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

- 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)

Core Components of the Artificial Intelligence Management System (AIMS)

40%

- Operational Controls and Documentation Requirements

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

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

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

- AI Risk and Impact Assessments

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

- Performance Evaluation and Continual Improvement

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

- 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

Responsible AI, Ethics, and Stakeholder Awareness

20%

- Ethical Principles of Responsible AI

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

- Communication, Stakeholder Engagement, and Trust

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

- Transparency and Explainability in AI Systems

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

- Stakeholder Roles in AI Governance

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

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GAICC ISO/IEC 42001 Foundation Sample Questions (Q36-Q41):

NEW QUESTION # 36
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 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.
B. 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.
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 # 37
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 may be declared at the discretion of top management and recorded in meeting minutes, with no further documentation required for the external certification audit.
B. 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.
C. 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.
D. 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.

Answer: C

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 # 38
An insurer deploys an AI model that supports underwriter decisions on personal-lines policies. Three audiences need explanations: applicants who receive a decline, internal underwriters who supervise the model
' s outputs, and an external regulator conducting a market review. A foundation learner is asked how ISO/IEC
42001 expects explainability to be approached across these audiences. Which response BEST reflects the responsible-AI principle of explainability?

A. Provide a single technical explanation document, copied verbatim from the model-development team, to each of the three audiences, on the basis that a uniform explanation supports consistency and auditability across stakeholders interacting with the system.
B. Provide explanations to the regulator and the underwriters but withhold any explanation from declined applicants on commercial-sensitivity grounds, so that proprietary aspects of the underwriting approach remain protected from competitor scrutiny.
C. Tailor the explanation to each audience: plain-language reasoning for the declined applicant, feature- level rationale for the underwriter, and methodology and validation evidence for the regulator-each calibrated to its purpose.
D. Defer explainability entirely until a complaint or regulatory enquiry is raised, then assemble an explanation reactively for the specific case, since pre-built explanations may not address the particular query the requesting party actually puts to the insurer.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Explainability under ISO/IEC 42001 Annex B and Annex A domain A.8 is not a one-size-fits-all technical readout. The standard explicitly recognizes that different interested parties require information delivered at different levels of abstraction to make the explanation meaningful and actionable. For consumers receiving an adverse outcome (such as a declined policy), explainability requires plain-language reasoning detailing the principal factors and criteria that led to the determination, enabling individual understanding and potential recourse. For internal operators (underwriters), explainability demands feature-importance scores, localized attribution weights, and confidence thresholds to enable effective human oversight and validation. For supervisory regulators, explainability requires comprehensive mathematical methodology disclosures, architectural validation reports, data provenance verification, and fairness audit records. Calibrating explanations to stakeholder contexts reflects the core principles of transparency, accountability, and user- centric governance.
Reference: ISO/IEC 42001:2023 Annex B.5 (Transparency and explainability); Control Domain A.8 (AI system operations); GAICC Foundation Module 6 (Calibrated Explainability and Stakeholder Communication).

NEW QUESTION # 39
During an AIMS awareness session, a junior product manager asks: ' In ISO/IEC 42001, who counts as an interested party? ' He wants a definition consistent with Clause 3 and the GAICC Foundation treatment of Clause 4.2. Which option is the BEST answer?

A. A paying customer of the organisation ' s AI products or services, since interested parties under ISO
/IEC 42001 are limited to entities with an active commercial relationship in place.
B. An accredited external certification body engaged to audit the AIMS, since interested parties under ISO
/IEC 42001 refers to third parties performing assurance roles for the AIMS.
C. A regulator with statutory authority over the organisation ' s sector, since interested parties are restricted to bodies that can impose binding obligations on the organisation.
D. A person or organisation that can affect, be affected by, or perceive itself to be affected by a decision or activity of the organisation, including customers and others.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
ISO/IEC 42001 adopts the standardized Harmonized Structure definition found in Clause 3, defining an interested party (or stakeholder) as a " person or organization that can affect, be affected by, or perceive itself to be affected by a decision or activity " . In the domain of artificial intelligence management, this definition encompasses an expansive stakeholder ecosystem. It extends far beyond formal commercial counterparties, paying clients, and direct regulatory agencies to encompass end-users, employees, subjects whose data is ingested for model training or inference, downstream individuals impacted by algorithmic recommendations, and societal communities. Under Clause 4.2, organizations must identify these relevant interested parties, determine their specific requirements and expectations, and assess which of those requirements translate into legal, mandatory, or voluntary commitments for the AIMS.
Reference: ISO/IEC 42001:2023 Clause 3.2 & Clause 4.2; GAICC Foundation Module 4 (Stakeholder Identification and Requirements Analysis).

NEW QUESTION # 40
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. 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.
D. The Continuing Professional Development requirements for personnel certified under the GAICC Foundation credential, since scope is governed by personnel certification cycles.

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 # 41
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