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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%	- Operational Controls and Documentation Requirements 1. Data governance procedures 2. AI incident logs and operational documentation 3. AI model change records - AI Risk and Impact Assessments 1. AI impact assessment documentation 2. AI risk assessment concepts 3. AI System Impact Assessment (AI-SIA) - Performance Evaluation and Continual Improvement 1. AI system monitoring 2. Internal reviews 3. Corrective actions 4. Continual improvement through the PDCA cycle - 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. Operation 2. Support 3. Leadership 4. Performance evaluation 5. Context of the organization 6. Improvement 7. Planning
Fundamentals of AI Governance and the ISO/IEC 42001 Framework	40%	- Risk-Based Thinking in AI Governance 1. Identification of AI-related risks 2. Integration of AI risks with organizational objectives 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 - 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 - Key Terms and Definitions Related to AI Governance 1. Accountability, bias, and transparency 2. Artificial Intelligence Management System (AIMS) 3. AI lifecycle and continual improvement - Structure and Clauses of ISO/IEC 42001 1. Plan-Do-Check-Act (PDCA) cycle 2. Structure and sequence of ISO/IEC 42001 3. Requirements covered by Clauses 4–10
Responsible AI, Ethics, and Stakeholder Awareness	20%	- Ethical Principles of Responsible AI 1. Human oversight 2. Accountability 3. Fairness and non-discrimination 4. Privacy - Communication, Stakeholder Engagement, and Trust 1. AI ethics statements 2. Public disclosures and stakeholder communication 3. Building trust through stakeholder engagement 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. External stakeholders Customers Regulators Society 2. Internal stakeholders Organizational leadership AI developers Compliance teams

Section

Weight

Objectives

Core Components of the Artificial Intelligence Management System (AIMS)

40%

- Operational Controls and Documentation Requirements

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

- AI Risk and Impact Assessments

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

- Performance Evaluation and Continual Improvement

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

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

Fundamentals of AI Governance and the ISO/IEC 42001 Framework

40%

- Risk-Based Thinking in AI Governance

1. Identification of AI-related risks
2. Integration of AI risks with organizational objectives
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

- 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

- Key Terms and Definitions Related to AI Governance

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

- Structure and Clauses of ISO/IEC 42001

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

Responsible AI, Ethics, and Stakeholder Awareness

20%

- Ethical Principles of Responsible AI

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

- Communication, Stakeholder Engagement, and Trust

1. AI ethics statements
2. Public disclosures and stakeholder communication
3. Building trust through stakeholder engagement
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. External stakeholders
- Customers
- Regulators
- Society
2. Internal stakeholders
- Organizational leadership
- AI developers
- Compliance teams

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GAICC ISO/IEC 42001 Foundation Sample Questions (Q35-Q40):

NEW QUESTION # 35
A new AIMS coordinator is asked to summarise the difference between an AI system and an AI System Impact Assessment (AI-SIA) for an internal awareness page. According to ISO/IEC 42001 Clause 3 and GAICC Foundation Module 3, which option BEST captures what an AI-SIA is?

A. A technical performance benchmark comparing model accuracy across vendor offerings, used to select the most suitable AI model for production deployment.
B. A formal process for identifying and evaluating the potential consequences of an AI system on individuals, groups, and society, including affected interested parties.
C. A periodic vulnerability scan of AI infrastructure used to identify security weaknesses in model-serving environments, container images, and supporting APIs.
D. A financial cost-benefit analysis comparing the total cost of ownership of competing AI platforms during procurement, including licence and infrastructure costs.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Under ISO/IEC 42001 Clause 3 and Clause 6.1.4, an AI System Impact Assessment (AI-SIA) is defined as a systematic process to identify, analyze, and evaluate the potential consequences of an AI system on individuals, groups of individuals, society, and the environment. While conventional enterprise risk management (Clause 6.1.2) evaluates risks primarily from the perspective of potential harm to the organization itself (financial, operational, reputational, legal), the AI-SIA adopts an outward-facing focus on external stakeholders and fundamental societal rights. The AI-SIA examines considerations such as demographic bias, discriminatory outcomes, threats to user autonomy, privacy degradation, and broader societal impacts. It is neither a hardware benchmark, a vendor total-cost-of-ownership model, nor a runtime cybersecurity vulnerability scan. It is a structured governance methodology for ensuring ethical and legal accountability throughout the AI lifecycle.
Reference: ISO/IEC 42001:2023 Clause 3 & Clause 6.1.4; GAICC Foundation Module 3 (Vocabulary, Concepts, and System Definitions).

NEW QUESTION # 36
A new compliance analyst is reading ISO/IEC 42001 for the first time and asks her mentor what the acronym ' AIMS ' stands for in the context of this standard. According to Clause 3 and GAICC Foundation Module 3, which option provides the correct expansion?

A. Audit Integrity Maintenance Schedule-the calendar that governs internal audit cadence, surveillance audits, and recertification audits across a three-year cycle.
B. AI Impact Mitigation Strategy-the documented plan describing how an organisation will treat residual AI risks identified through impact assessment activities.
C. AI Management System-the set of interrelated elements an organisation uses to establish policies and objectives for its AI activities and the processes to achieve them.
D. AI Monitoring and Surveillance-the runtime telemetry layer that watches deployed AI models for performance drift, anomalous outputs, and integrity breaches.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
In accordance with ISO/IEC 42001 Clause 3 (Terms and definitions) and the Harmonized Structure common to all modern ISO management system standards, the acronym " AIMS " formally stands for " Artificial Intelligence Management System. " Clause 3 defines a management system as a set of interrelated or interacting elements of an organization to establish policies and objectives, as well as processes to achieve those objectives. Therefore, the AIMS encompasses the governance framework, policies, structural controls, operational lifecycles, risk management methodologies, impact assessment mechanisms, and continuous improvement loops established to direct, govern, and control an entity's AI-related undertakings. It must not be conflated with point-in-time runtime telemetry platforms (AI monitoring), risk treatment blueprints, or audit scheduling timelines.
Reference: ISO/IEC 42001:2023 Clause 3.1; GAICC Foundation Module 3 (Vocabulary, Concepts, and Structural Frameworks).
Batch 2: Questions 11 to 20

NEW QUESTION # 37
A regional bank is preparing for its first ISO/IEC 42001 internal audit. The chief operating officer explains that the bank has an AIMS RACI matrix on a shared drive, but few staff have seen it; team leads in data science, risk, and customer operations are uncertain who is accountable for reporting AIMS performance to top management. The internal auditor flags this as a likely Clause 5.3 concern. Which corrective approach BEST addresses what Clause 5.3 actually requires?

A. Move the RACI matrix to a more secure folder, restrict edit rights to senior managers, and add a version history log so that change control over the matrix can be evidenced more cleanly during the next internal audit cycle.
B. Append the RACI matrix as an annex to the AI policy document and recirculate the combined policy for re-acknowledgement, since combining the two records will satisfy the documentation expectation under Clause 7.5 for related governance artefacts.
C. Schedule a workshop for the data-science team to revise the AI risk register, on the basis that stronger risk records will indirectly make AIMS roles and responsibilities easier for team leads to interpret in their day-to-day work.
D. Formally assign and communicate the responsibilities and authorities for AIMS conformance and for performance reporting to top management, then confirm in writing that affected staff understand their specific role in the AI management system.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Clause 5.3 (Organizational roles, responsibilities and authorities) contains a two-fold requirement: top management must ensure that the responsibilities and authorities for relevant roles are both assigned and communicated throughout the organization. Merely drafting an internal RACI document that sits unshared on an intranet drive fails the communication requirement of the standard. Furthermore, Clause 5.3 specifies distinct roles that must be unequivocally established, specifically: (a) ensuring that the AI management system conforms to the requirements of the standard, and (b) reporting on the performance of the AIMS directly to top management. To remediate the identified nonconformity, the organization must formally designate these responsibilities to specific individuals or positions, actively communicate them across affected business units, and establish verified evidence that personnel understand their assigned governance responsibilities.
Reference: ISO/IEC 42001:2023 Clause 5.3 (Organizational roles, responsibilities and authorities); GAICC Foundation Module 5 (Governance Roles, Accountabilities, and RACI Architecture).

NEW QUESTION # 38
An AIMS project team is drafting the interested-parties register required under Clause 4.2. A team member suggests limiting the register to paying customers and regulators. The compliance lead pushes back, citing the breadth of interested parties expected under GAICC Foundation Module 4. Which option BEST captures the range of interested parties Clause 4.2 expects?

A. External certification body auditors and the accreditation body, since interested parties under Clause 4.2 captures the assurance ecosystem that audits the AIMS.
B. Customers and competent regulatory authorities, since interested parties under Clause 4.2 are deliberately restricted to entities with formal commercial or statutory relationships.
C. A broad range that includes customers, regulators, employees, data subjects, suppliers, the public, and communities affected by the organisation ' s AI activities.
D. Top management and members of the AI governance committee, since interested parties under Clause
4.2 refers to the internal leadership group accountable for the AIMS.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
ISO/IEC 42001 Clause 4.2 establishes a broad mandate for stakeholder identification that aligns with the pervasive, societal impact of artificial intelligence. Unlike traditional technical standards that focus narrowly on immediate clients and statutory authorities, an AIMS must account for a wide continuum of interested parties. This scope encompasses direct customers, regulatory bodies, internal staff, external suppliers, end- users, individuals whose personal data or intellectual property is ingested for model training, and wider communities or vulnerable groups that can be impacted by automated outputs and classifications. Failing to incorporate non-contractual parties-such as individuals evaluated by automated screening tools-creates blind spots in risk assessment, violating the intent of Clauses 4.2, 6.1.2, and 6.1.4.
Reference: ISO/IEC 42001:2023 Clause 4.2; GAICC Foundation Module 4 (Understanding Stakeholders and Expectations).

NEW QUESTION # 39
An auditor reviewing a small fintech ' s AIMS notes that the interested-parties register was created two years ago and has not been touched since, despite the firm entering two new markets and launching three new AI- enabled products. The compliance officer argues that Clause 4.2 is satisfied because a register exists. What is the BEST Foundation-level response?

A. Clause 4.2 expects the register to be maintained current; when context, products, or markets change, the interested parties and their needs should be re-determined, not assumed.
B. The interested-parties register is required just for the initial Stage 1 certification audit; once the certificate is issued, the register may be retired from the AIMS.
C. Clause 4.2 obligations transfer to the certification body during surveillance audits, so the fintech is no longer required to maintain its own interested-parties register internally.
D. The compliance officer is correct: Clause 4.2 just requires the existence of a register, and updates to interested parties are an optional enhancement that the standard does not require.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
An AI Management System is designed to be an iterative, continuously updated operational framework rather than a static compliance exercise. Under Clause 4.2 (Understanding the needs and expectations of interested parties), an organization is required to determine the relevant interested parties and their requirements on an ongoing basis. When an enterprise enters new jurisdictional markets, it becomes subject to novel regional legal frameworks, consumer protection rules, and local regulatory bodies. Similarly, launching new AI products introduces novel end-user cohorts, unique data subjects, and distinct societal dependencies. Leaving a stakeholder register unreviewed for two years despite major operational expansion represents a failure of Clause 4.2 and directly undermines Clause 6 risk management and Clause 10 continual improvement.
Stakeholder needs must be actively reviewed and updated whenever significant organizational, technical, or contextual changes occur.
Reference: ISO/IEC 42001:2023 Clause 4.2; Clause 10.1 (Continual improvement); GAICC Foundation Module 4 (Stakeholder Management & Dynamic Context Maintenance).

NEW QUESTION # 40
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