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

Section	Weight	Objectives
Topic 1: ISO/IEC 42001 Requirements and Clauses	45%	- Leadership, commitment, and AI policy - Performance evaluation, monitoring, internal audit, and management review - Support, resources, competence, awareness, and communication - Context of the organization and understanding stakeholder needs - Operation, operational planning, and control - Improvement, nonconformity, and corrective action - Planning, AI risk assessment, and risk treatment
Topic 2: Introduction to Artificial Intelligence and ISO/IEC 42001	25%	- Structure and high-level concepts of ISO/IEC 42001 - Overview of Artificial Intelligence concepts and terminology - Purpose and benefits of an Artificial Intelligence Management System (AIMS)
Topic 3: AI Management System Controls and Guidance	30%	- Overview of Annex A controls - Data governance and lifecycle management for AI systems - Responsible AI use, transparency, and accountability

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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 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.
B. The forthcoming enforcement of regional AI legislation, such as the EU AI Act, and evolving public expectations about transparency in automated insurance decisions.
C. The composition of the firm ' s senior leadership team and the way responsibilities for AI initiatives are currently allocated across internal business units.
D. 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.

Answer: B

NEW QUESTION # 22
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 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.
B. 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.
C. 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.
D. 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.

Answer: B

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 # 23
A mid-sized SaaS company has implemented its AIMS and now wants to obtain certification against ISO/IEC
42001. The CISO asks which standard governs the bodies that will conduct the external certification audit, so she can check the credentials of the shortlisted firms. Which standard is the right reference?

A. ISO/IEC 38507, which sets governance implications of AI use for governing bodies and supports board- level oversight in organisations adopting ISO/IEC 42001.
B. ISO/IEC 17021-1, which sets requirements for bodies providing audit and certification of management systems and applies to ISO/IEC 42001 certification bodies.
C. ISO/IEC 22989, which provides AI vocabulary and concepts and is the normative reference cited inside ISO/IEC 42001 for terminology used during audits.
D. ISO/IEC 27001, which sets requirements for information security management systems and is widely used by SaaS vendors that also pursue ISO/IEC 42001.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Conformity assessment bodies (CABs) that evaluate organizations for certification against management system standards must themselves satisfy the stringent competence and operational criteria set out in ISO/IEC
17021-1 (Conformity assessment - Requirements for bodies providing audit and certification of management systems). ISO/IEC 17021-1 establishes the global benchmark for impartiality, audit methodology, auditor qualifications, and quality control that certification bodies must demonstrate to national accreditation bodies (such as UKAS, ANAB, or DAkkS). While ISO/IEC 22989 is the foundational terminology standard and ISO
/IEC 38507 provides corporate governance guidance for boards, neither standard governs the operations of third-party certification bodies. Checking that a certification body holds accreditation under ISO/IEC 17021-1 ensures that the resulting certificate is credible, verifiable, and internationally recognized.
Reference: ISO/IEC 17021-1; GAICC Foundation Module 2 (The Conformity Assessment Ecosystem & Third-Party Auditing).

NEW QUESTION # 24
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 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.
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 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.
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: A

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 # 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. 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.
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. 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.
D. 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.

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 # 26
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