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

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

Section

Weight

Objectives

Topic 1: Core Components of the Artificial Intelligence Management System (AIMS)

40%

- AI Policy and Organizational Values

1. Purpose and role of an AI policy
2. Integration of AI risk management into organizational values
3. Leadership commitment to fairness and transparency

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

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

- Performance Evaluation and Continual Improvement

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

- AI Risk and Impact Assessments

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

- Operational Controls and Documentation Requirements

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

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

40%

- Purpose and Scope of ISO/IEC 42001

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

- Relationship Between ISO/IEC 42001 and Other Management Standards

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

- Structure and Clauses of ISO/IEC 42001

1. Plan-Do-Check-Act (PDCA) cycle
2. Requirements covered by Clauses 4–10
3. Structure and sequence of ISO/IEC 42001

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

Topic 3: Responsible AI, Ethics, and Stakeholder Awareness

20%

- Ethical Principles of Responsible AI

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

- Communication, Stakeholder Engagement, and Trust

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

- Transparency and Explainability in AI Systems

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

- Stakeholder Roles in AI Governance

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

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GAICC ISO/IEC 42001 Foundation Sample Questions (Q32-Q37):

NEW QUESTION # 32
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. 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.
B. 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.
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. 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: A

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 # 33
A workshop exercise asks foundation candidates to evaluate four candidate sentences for inclusion in a one- page AI policy at an e-commerce retailer. The retailer uses AI for product recommendations, fraud detection, and customer-service triage. The intent is to capture a single sentence that aligns with the four attributes Clause 5.2 requires. Which sentence is the BEST single-line expression of those Clause 5.2 attributes?

A. The retailer commits to certifying every AI system it deploys against ISO/IEC 42001 within a twelve- month window, with surveillance audits scheduled annually thereafter under the chosen third-party certification body for each system in operation.
B. The retailer will manage its AI systems in a manner appropriate to its purpose, satisfy applicable requirements, set and pursue measurable AI objectives, and continually improve its AI management system in line with this policy.
C. The retailer ' s recommendation engine will be retrained every fortnight using the most recent behavioural data from logged-in customers, and the fraud-detection model will be retuned monthly to reflect emerging patterns of attempted account compromise.
D. The retailer will appoint an AI ethics committee composed of representatives from product, engineering, legal, and marketing with quarterly meetings, decisions recorded, and an annual report submitted to the board ' s risk subcommittee.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Clause 5.2 (AI policy) sets out four non-negotiable structural requirements that any documented AI policy must encompass. The policy must: (1) be appropriate to the purpose and context of the organization; (2) provide a framework for setting and reviewing AI objectives; (3) include a commitment to satisfy applicable legal, regulatory, and stakeholder requirements; and (4) include an explicit commitment to the continual improvement of the AI management system. Option B explicitly encapsulates each of these four core elements within a concise governance statement. In contrast, specifying technical model retraining cadences (Option A) belongs in operational SOPs; defining committee membership rosters (Option C) addresses operational execution rather than policy direction; and declaring specific certification schedules (Option D) addresses external conformity timelines rather than organizational policy obligations.
Reference: ISO/IEC 42001:2023 Clause 5.2 (AI policy); GAICC Foundation Module 5 (Leadership, Policy Architecture, and Governance Commitments).

NEW QUESTION # 34
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. 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.
B. Elimination of model bias in deployed AI systems through the application of Annex A controls, regardless of the training data used during development.
C. Demonstrable due diligence and an evidentiary foundation that supports trust with regulators, customers, and the public regarding the organisation ' s AI governance.
D. Automatic conformity with the EU AI Act and equivalent global AI legislation, removing the need for separate legal-compliance reviews of AI deployments.

Answer: C

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 # 35
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/IEC 27001, the information security management system standard, which fully addresses AI governance through its existing Annex A control set.
B. ISO 9001, the international quality management system standard, which already covers AI quality assurance for regulated banking workloads.
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 # 36
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 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.
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 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: 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 # 37
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