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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%	- Performance Evaluation and Continual Improvement 1. Corrective actions 2. AI system monitoring 3. Internal reviews 4. Continual improvement through the PDCA cycle - Main Requirements of ISO/IEC 42001 Clauses 4–10 1. Operation 2. Leadership 3. Performance evaluation 4. Support 5. Context of the organization 6. Planning 7. Improvement - Operational Controls and Documentation Requirements 1. AI model change records 2. Data governance procedures 3. AI incident logs and operational documentation - AI Policy and Organizational Values 1. Integration of AI risk management into organizational values 2. Leadership commitment to fairness and transparency 3. Purpose and role of an AI policy - AI Risk and Impact Assessments 1. AI impact assessment documentation 2. AI System Impact Assessment (AI-SIA) 3. AI risk assessment concepts
Responsible AI, Ethics, and Stakeholder Awareness	20%	- Stakeholder Roles in AI Governance 1. Internal stakeholders Organizational leadership AI developers Compliance teams 2. External stakeholders Customers Regulators Society - 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 - Ethical Principles of Responsible AI 1. Privacy 2. Human oversight 3. Fairness and non-discrimination 4. Accountability - Transparency and Explainability in AI Systems 1. Understandable AI decisions for users and regulators 2. Transparency in AI systems 3. Explainability of AI decisions
Fundamentals of AI Governance and the ISO/IEC 42001 Framework	40%	- Purpose and Scope of ISO/IEC 42001 1. Alignment with ethical AI principles and sustainable digital transformation 2. Purpose and objectives of the Artificial Intelligence Management System (AIMS) 3. Organizational adoption of AI governance frameworks - 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 - 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 - Risk-Based Thinking in AI Governance 1. Integration of AI risks with organizational objectives 2. Identification of AI-related risks 3. AI risk assessment and mitigation - 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

Section

Weight

Objectives

Core Components of the Artificial Intelligence Management System (AIMS)

40%

- Performance Evaluation and Continual Improvement

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

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

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

- Operational Controls and Documentation Requirements

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

- AI Policy and Organizational Values

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

- AI Risk and Impact Assessments

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

Responsible AI, Ethics, and Stakeholder Awareness

20%

- Stakeholder Roles in AI Governance

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

- 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

- Ethical Principles of Responsible AI

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

- Transparency and Explainability in AI Systems

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

Fundamentals of AI Governance and the ISO/IEC 42001 Framework

40%

- Purpose and Scope of ISO/IEC 42001

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

- 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

- 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

- Risk-Based Thinking in AI Governance

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

- 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

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GAICC ISO/IEC 42001 Foundation Sample Questions (Q28-Q33):

NEW QUESTION # 28
A compliance manager is preparing a slide for the leadership team to explain the difference between accreditation and certification in the ISO/IEC 42001 ecosystem. She wants a one-sentence working definition of an accreditation body that aligns with GAICC Foundation Module 2. Which option is the BEST fit?

A. An accreditation body is the internal audit function within an organisation that reviews the AIMS against ISO/IEC 42001 before any external certification audit is conducted.
B. An accreditation body is the publisher of an ISO standard, responsible for drafting the requirements text, maintaining revisions, and updating the harmonised structure terms.
C. An accreditation body is an authoritative third party that assesses and formally recognises the competence of certification bodies to audit against standards such as ISO/IEC 42001.
D. An accreditation body is the consulting firm engaged by an organisation to help draft its AI policy, conduct gap analyses, and prepare evidence packs for a Stage 1 audit.

Answer: C

NEW QUESTION # 29
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. 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. 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 # 30
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. The OECD AI Principles, which provide an internationally agreed policy framework for trustworthy AI and a basis for third-party certification.
B. ISO 9001, the international quality management system standard, which already covers AI quality assurance for regulated banking workloads.
C. ISO/IEC 42001, the first international management system standard dedicated to artificial intelligence and capable of third-party certification.
D. ISO/IEC 27001, the information security management system standard, which fully addresses AI governance through its existing Annex A control set.

Answer: C

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 # 31
A foundation workshop case describes a small financial-advisory firm that has just signed its AI policy. The compliance officer asks what the firm should do next to translate the policy into operational practice for a new portfolio-recommendation AI tool the firm is preparing to deploy. Which next step BEST reflects how ISO
/IEC 42001 expects policy to connect to planning and operations for a specific AI system?

A. Re-sign the AI policy in front of staff at the next quarterly town-hall meeting to demonstrate leadership commitment, on the basis that visible re-signing reinforces the message conveyed by the original signature at policy adoption.
B. Conduct an AI risk assessment under Clause 6.1.2 and an AI System Impact Assessment under Clause
6.1.4 for the portfolio-recommendation tool, then plan risk treatment with controls aligned to the policy
' s commitments.
C. Defer further action until the firm has accumulated several months of live experience with the portfolio- recommendation tool, on the basis that risk and impact assessments are more accurate when informed by post-deployment operational data points.
D. Print and laminate the signed policy for display in the office reception area, then distribute copies to each adviser ' s desk so that the document is visible during client meetings held in the firm ' s premises across the next quarter.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Under the Plan-Do-Check-Act architecture of ISO/IEC 42001, adopting an overarching AI policy under Clause 5.2 establishes the strategic intent and objectives that must be translated into operational execution via Clause 6 (Planning). Before operationalizing any high-impact algorithmic tool-such as an automated portfolio-recommendation engine-the organization must systematically identify organizational risks under Clause 6.1.2 and perform an AI System Impact Assessment under Clause 6.1.4 to evaluate potential adverse effects on individuals and society. Following risk and impact identification, the entity conducts risk treatment under Clause 6.1.3, selecting tailored controls from Annex A (e.g., model explainability, data verification, drift monitoring, human-in-the-loop oversight) to operationalize the high-level policy commitments.
Performing performative public gestures, laminating posters, or releasing an unassessed model into live production without prior risk treatment violates the core operational planning requirements of the standard.
Reference: ISO/IEC 42001:2023 Clause 6.1 (Actions to address risks and opportunities); Clause 6.1.4; GAICC Foundation Module 6 (From Policy to Operational Planning).

NEW QUESTION # 32
+-----------------------------------------------------------------------------------------------+
| Choosduct manager responsible for the deployed AI system, since they direct day-to- |
| day operations and have the most direct view of AI model behaviour and incidents. |
+-----------------------------------------------------------------------------------------------+ A compliance team is mapping ISO/IEC 42001 Clause 3 terms to everyday business language for an internal onboarding wiki. They are debating who counts as ' top management ' under the standard, because the term governs which roles inherit Clause 5.1 leadership duties. According to GAICC Foundation Module 3, which option BEST reflects the Clause 3 definition of top management?

A. The third-party certification body ' s lead auditor, since the auditor exercises decisive authority over whether the AIMS satisfies ISO/IEC 42001 during a Stage 2 audit.
B. Any line manager with budget authority over an AI initiative, since top management refers to the manager who funds the AI project rather than to enterprise leadership.
C. The product manager responsible for the deployed AI system, since they direct day-to-day operations and have the most direct view of AI model behaviour and incidents.
D. The person or group of people who directs and controls an organisation at the highest level and has the authority to delegate and provide resources within it.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
In alignment with the standardized Harmonized Structure across all ISO management system frameworks, Clause 3 of ISO/IEC 42001 defines " top management " verbatim as the " person or group of people who directs and controls an organization at the highest level. " Top management possesses enterprise-wide executive authority to allocate corporate capital, assign operational resources, delegate organizational responsibilities, and enforce strategic accountability across all operating units. In corporate practice, this typically denotes the Board of Directors, Chief Executive Officer, C-suite executives, or the executive leadership team. While technical product managers and engineering directors oversee operational model execution, they do not direct the enterprise at the highest level. External certification auditors are independent third-party assessors who hold zero organizational governance authority. Correctly identifying top management is crucial, as this group is directly accountable for Clause 5.1 leadership obligations and Clause
9.3 management reviews.
Reference: ISO/IEC 42001:2023 Clause 3.3; GAICC Foundation Module 3 (Core Terminology, Governance Definitions, and Leadership).

NEW QUESTION # 33
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