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

Section	Weight	Objectives
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
Responsible AI, Ethics, and Stakeholder Awareness	20%	- Ethical principles and AI responsibility 1. Stakeholder engagement and transparency 2. Roles and responsibilities of AI providers, producers and customers 3. Fairness, explainability and oversight mechanisms
Fundamentals of AI Governance and the ISO/IEC 42001 Framework	40%	- Basic concepts of AI and AI Management Systems (AIMS) 1. Purpose, scope and structure of ISO/IEC 42001:2023 2. Terminology from ISO/IEC 22989 and ISO/IEC 42001 3. AI system lifecycle concepts - Relationship between AIMS and organizational context

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GAICC ISO/IEC 42001 Foundation Sample Questions (Q23-Q28):

NEW QUESTION # 23
A logistics firm ' s executive committee is evaluating the business case for adopting ISO/IEC 42001. The CFO is sceptical and asks which benefit is MOST defensibly attributable to implementing a certified AI management system as described in GAICC Foundation Module 1. Which option is the BEST answer?

A. Elimination of model bias in deployed AI systems through the application of Annex A controls, regardless of the training data used during development.
B. A legal guarantee of indemnity against any civil claims that may arise from harms caused by deployed AI systems within the certified scope of the AIMS.
C. Automatic conformity with the EU AI Act and equivalent global AI legislation, removing the need for separate legal-compliance reviews of AI deployments.
D. Demonstrable due diligence and an evidentiary foundation that supports trust with regulators, customers, and the public regarding the organisation ' s AI governance.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Attaining third-party certification against ISO/IEC 42001 delivers demonstrable proof that an organization has instituted rigorous, verifiable management controls across the entire artificial intelligence lifecycle. While standard implementation does not grant civil indemnity, eliminate statutory liability, or guarantee the total technical removal of algorithmic bias, it provides an auditable evidentiary foundation of due diligence.
Implementing the standard demonstrates to enterprise clients, procurement boards, judicial authorities, and statutory regulators that the entity systematically assesses AI impacts, manages data governance, mitigates known risks, maintains human oversight, and drives continuous operational improvement. This verifiable conformity serves as a market differentiator, establishes competitive advantage in commercial bidding, accelerates institutional trust, and directly substantiates compliance posture during regulatory scrutiny.
Reference: ISO/IEC 42001:2023 Introduction; GAICC Foundation Module 1 (Value Proposition, Trust, and Business Benefits of Certification).

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. 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.
B. 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.
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. 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.

Answer: D

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 foundation learner is shown four pieces of evidence collected during a Clause 5 walkthrough at a media company that deploys content-moderation AI. The auditor wants the single strongest indicator that top management is actively committed to the AIMS, not merely supportive on paper. The four pieces of evidence are an intranet news item, a printed policy, a budget line, and a signed management-review minute. Which item BEST evidences active Clause 5.1 commitment?

A. A signed management-review minute showing the chief executive chaired the review, reviewed AIMS performance indicators, approved resource changes, and tasked named owners with follow-up actions carrying agreed deadlines and reporting dates.
B. An intranet news item from twelve months ago announcing that the organisation has adopted ISO/IEC
42001 as its preferred AI management framework, written by the corporate-communications team rather than by top management directly.
C. A finance-system budget line called " AI governance " totalling a substantial annual figure, with no supporting breakdown of how funds were allocated across training, tooling, monitoring, or external advisory services during the period.
D. A printed AI policy displayed in the reception lobby, signed by a former chief executive who departed before the AIMS scope was extended to cover the newer generative-AI content-moderation tools that the company now operates.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
In ISO conformity assessment audits, external auditors distinguish between superficial paper compliance and genuine, verifiable leadership commitment under Clause 5.1. While published policies, internal communications, and high-level financial allocations represent supporting evidence, they are insufficient on their own to substantiate direct leadership engagement. A signed management review record (Clause 9.3) demonstrating that the chief executive personally presided over the governance review, critically assessed operational telemetry and audit findings, authorized concrete resource allocations, and assigned actionable remediation tasks to named owners establishes clear, verifiable proof of active leadership oversight. This record links top-level strategic authority directly to operational accountability and continual improvement, providing the primary evidence needed to satisfy Clause 5.1.
Reference: ISO/IEC 42001:2023 Clause 5.1 (Leadership and commitment); Clause 9.3 (Management review); GAICC Foundation Module 5 (Leadership and Top Management Audit Trails).

NEW QUESTION # 26
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. 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.
B. 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.
C. 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.
D. 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.

Answer: D

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 # 27
A regional hospital network is starting its ISO/IEC 42001 journey. The chief medical officer wants the AIMS scope to cover the radiology-triage AI in current use, on the basis that no other AI is deployed yet. The chief information officer has identified two more AI tools planned for rollout in the next six months: an admissions- forecasting model and a clinical-coding assistant. How should the AIMS scope be framed at the outset, consistent with Clause 4 of ISO/IEC 42001?

A. Adopt an open-ended scope statement that covers any AI the hospital may deploy at any point in the future, without listing specific systems, on the grounds that a broad scope avoids the need for frequent scope-change documentation.
B. Define the AIMS scope to reflect the organisation ' s planned AI footprint, including the radiology triage tool in use plus the two near-term planned tools, and document the rationale so the scope boundaries are explicit and defensible.
C. Restrict the AIMS scope to the radiology triage tool in use today, on the basis that planned systems may be cancelled, and revisit the scope question after the planned tools have been live in production for an extended observation period.
D. Defer the scope decision until after the two planned tools are live, and operate the AIMS informally in the interim, since a formal scope decision before deployment risks creating obligations the hospital is not yet ready to discharge under the management system.

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) requires an organization to establish the boundaries and applicability of the AIMS by considering the external and internal issues identified in Clause
4.1, the requirements of interested parties determined in Clause 4.2, and the full lifecycle of activities, products, and services within its purview. In an operational enterprise where near-term deployments are actively in development or scheduled for release within the business cycle, framing the scope around both active and near-term scheduled implementations ensures that risk assessments, design controls, and AI system impact assessments are applied before production deployment. A scope restricted artificially to a single active algorithm risks leaving subsequent pipeline deployments ungoverned by management system controls.
Conversely, vague and open-ended scoping statements that do not delineate system boundaries or organizational interfaces fail audit scrutiny. Formally documenting the planned footprint and providing clear, defensible boundaries satisfies the expectations of Clause 4.3 and allows the organization to build proactive compliance pathways across the development lifecycle.
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 # 28
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