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

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

Section

Weight

Objectives

Topic 1: Responsible AI, Ethics, and Stakeholder Awareness

20%

- Ethical Principles of Responsible AI

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

- Transparency and Explainability in AI Systems

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

- Communication, Stakeholder Engagement, and Trust

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

- Stakeholder Roles in AI Governance

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

Topic 2: Core Components of the Artificial Intelligence Management System (AIMS)

40%

- AI Risk and Impact Assessments

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

- AI Policy and Organizational Values

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

- Operational Controls and Documentation Requirements

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

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

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

- Performance Evaluation and Continual Improvement

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

Topic 3: 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

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

- Relationship Between ISO/IEC 42001 and Other Management Standards

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

- 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

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GAICC ISO/IEC 42001 Foundation Sample Questions (Q33-Q38):

NEW QUESTION # 33
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. 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.
B. 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.
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: A

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 # 34
A telecommunications operator is choosing between two architectures for a customer-service AI assistant.
Option A retrains a very large foundation model weekly on internal data; Option B fine-tunes a substantially smaller model monthly. Both meet functional accuracy requirements. The AIMS lead is asked how ISO/IEC
42001 treats environmental considerations when an organisation selects an AI design. Which response BEST reflects the standard ' s intent?

A. Environmental considerations sit outside the AIMS and belong with the corporate sustainability team, so the AI architecture decision should be driven purely by functional accuracy and time-to-market without consideration of energy or compute footprint.
B. Environmental impact considerations apply solely to AI systems that perform climate-related functions such as emissions forecasting; for a customer service assistant the environmental dimension of architecture choice falls outside the relevant scope.
C. Environmental impact is among the considerations the AI System Impact Assessment is expected to address, so the operator should evaluate the energy and compute footprint of each option alongside functional performance before approving an architecture.
D. Environmental impact should be evaluated by the cloud provider rather than the operator, since the provider operates the underlying infrastructure and is better placed than the operator to compare the relative carbon profiles of competing architectures.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
ISO/IEC 42001 establishes an operational framework that integrates societal and environmental dimensions directly into the engineering and procurement lifecycle of AI systems. Under Clause 6.1.4 (AI System Impact Assessment) and the reference controls in Annex A (specifically domain A.6 regarding resource management and AI lifecycle governance), organizations must assess the broader ramifications of system deployment. This includes evaluating the compute intensity, power consumption, data storage volume, and resulting carbon footprint of competing model designs. An organization cannot abdicate environmental due diligence to a hyperscaler or corporate sustainability committee; the AIMS requires technical decision-makers to evaluate whether excessive computational consumption is disproportionate to functional performance gains.
Comparing retraining cadences and model parameter scale against sustainable resource objectives directly supports responsible AI development and lifecycle optimization.
Reference: ISO/IEC 42001:2023 Clause 6.1.4 (AI system impact assessment); Annex A.6; GAICC Foundation Module 7 (AI Impact Assessment & Societal Considerations).

NEW QUESTION # 35
A telecoms group is finalising the documented scope statement for its AIMS under Clause 4.3. The general counsel asks which inputs Clause 4.3 expects the team to consider when defining the AIMS boundaries.
According to GAICC Foundation Module 4, which set of inputs is MOST consistent with Clause 4.3?

A. The five-step certification application pathway, including the twelve-month eligibility window opened on the date the certification application is approved by GAICC.
B. The Continuing Professional Development requirements for personnel certified under the GAICC Foundation credential, since scope is governed by personnel certification cycles.
C. The external and internal issues from Clause 4.1, the requirements of interested parties from Clause 4.2, and the organisation ' s AI-related roles, services, and dependencies.
D. Just the AI inventory and the geographies of deployment, since Clause 4.3 is concerned with describing technical assets and the regions in which they are operated.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Determining the scope of the AIMS under ISO/IEC 42001 Clause 4.3 requires an explicit synthesis of organizational context and stakeholder obligations. Specifically, the standard mandates that an organization consider the external and internal context factors established in Clause 4.1, the compliance and operational requirements of identified interested parties determined under Clause 4.2, and the interactions between organizational operations and external providers. In the context of artificial intelligence, Clause 4.3 uniquely extends this analysis to include the distinct roles the organization plays across the AI system life cycle (e.g., AI developer, provider, deployer, or user), along with external technical dependencies and supply chain architectures. Limiting the scope solely to asset inventories or regional footprints omits key legal, societal, and relational governance vectors. The resulting scope must be maintained as documented information, clearly demarcating boundaries, operational interfaces, and any defensible justifications for exclusions.
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 # 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. 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.
B. Audit Integrity Maintenance Schedule-the calendar that governs internal audit cadence, surveillance audits, and recertification audits across a three-year cycle.
C. AI Impact Mitigation Strategy-the documented plan describing how an organisation will treat residual AI risks identified through impact assessment activities.
D. AI Monitoring and Surveillance-the runtime telemetry layer that watches deployed AI models for performance drift, anomalous outputs, and integrity breaches.

Answer: A

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 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. 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.
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. 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.

Answer: D

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 # 38
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