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

Section	Weight	Objectives
Topic 1: Responsible AI, Ethics, and Stakeholder Awareness	20%	- Ethical principles and AI responsibility 1. Fairness, explainability and oversight mechanisms 2. Stakeholder engagement and transparency 3. Roles and responsibilities of AI providers, producers and customers
Topic 2: Fundamentals of AI Governance and the ISO/IEC 42001 Framework	40%	- Basic concepts of AI and AI Management Systems (AIMS) 1. Terminology from ISO/IEC 22989 and ISO/IEC 42001 2. AI system lifecycle concepts 3. Purpose, scope and structure of ISO/IEC 42001:2023 - Relationship between AIMS and organizational context
Topic 3: Core Components of the Artificial Intelligence Management System (AIMS)	40%	- Key clauses and requirements of ISO/IEC 42001 1. Operation, performance evaluation and improvement 2. Leadership, planning and support

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Exam GAICC ISO-IEC-42001-Foundation Questions & ISO-IEC-42001-Foundation Premium Exam

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GAICC ISO/IEC 42001 Foundation Sample Questions (Q21-Q26):

NEW QUESTION # 21
A small insurance firm is performing its first context analysis under Clause 4.1 of ISO/IEC 42001. The compliance lead lists the factors the team should consider. Which item BEST illustrates an EXTERNAL issue relevant to the AIMS, consistent with GAICC Foundation Module 4?

A. The forthcoming enforcement of regional AI legislation, such as the EU AI Act, and evolving public expectations about transparency in automated insurance decisions.
B. The composition of the firm ' s senior leadership team and the way responsibilities for AI initiatives are currently allocated across internal business units.
C. The firm ' s internal organisational culture and the maturity of its data engineering team, both of which influence how AI projects are scoped and delivered.
D. The current inventory of AI models deployed in the underwriting platform and the technical debt accumulated within the firm ' s own internal data pipelines over time.

Answer: A

NEW QUESTION # 22
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 not permitted under ISO/IEC 42001, so the entire organisation must be brought into the certification scope before a Stage 1 audit can commence.
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 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: 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 # 23
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. 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.
B. 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.
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 # 24
A retail bank ' s procurement team has begun receiving requests from enterprise clients asking the bank to demonstrate how it governs the AI models used in credit decisioning. The Chief Risk Officer wants a single, internationally recognised framework that addresses AI specifically-not just general quality or information- security controls-and that can be independently certified. Which standard BEST fits this need under the GAICC Foundation view of why ISO/IEC 42001 was published?

A. ISO 9001, the international quality management system standard, which already covers AI quality assurance for regulated banking workloads.
B. ISO/IEC 27001, the information security management system standard, which fully addresses AI governance through its existing Annex A control set.
C. The OECD AI Principles, which provide an internationally agreed policy framework for trustworthy AI and a basis for third-party certification.
D. ISO/IEC 42001, the first international management system standard dedicated to artificial intelligence and capable of third-party certification.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
ISO/IEC 42001 was developed jointly by ISO and IEC (through JTC 1/SC 42) to establish the world's first certifiable Artificial Intelligence Management System (AIMS) standard. While ISO 9001 addresses overarching quality processes and ISO/IEC 27001 governs information security, neither framework provides specialized, auditable criteria for unique AI risks, including model hallucinations, statistical bias, algorithmic drift, lack of explainability, data poisoning, and autonomous decision opacity. Furthermore, while the OECD AI Principles define high-level global policy benchmarks for trustworthy AI, they are non-binding policy guidance that lack formal conformity assessment specifications. ISO/IEC 42001 fills this gap by delivering an auditable, Harmonized Structure management system against which accredited conformity assessment bodies can perform independent third-party audits and issue formal organizational certification.
Reference: ISO/IEC 42001:2023 Scope; GAICC Foundation Module 1 (The Emergence & Global Role of ISO
/IEC 42001).

NEW QUESTION # 25
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 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.
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 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.

Answer: D

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 # 26
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