ISO-IEC-42001-Foundation無料問題 & ISO-IEC-42001-Foundation資格模擬

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

SectionWeightObjectives
Topic 1: Fundamentals of AI Governance and the ISO/IEC 42001 Framework40%- Basic concepts of AI and AI Management Systems (AIMS)
  • 1. Terminology from ISO/IEC 22989 and ISO/IEC 42001
    • 2. AI system lifecycle concepts
      • 3. Purpose, scope and structure of ISO/IEC 42001:2023
        - Relationship between AIMS and organizational context
        Topic 2: Responsible AI, Ethics, and Stakeholder Awareness20%- Ethical principles and AI responsibility
        • 1. Roles and responsibilities of AI providers, producers and customers
          • 2. Stakeholder engagement and transparency
            • 3. Fairness, explainability and oversight mechanisms
              Topic 3: 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

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                  GAICC ISO/IEC 42001 Foundation 認定 ISO-IEC-42001-Foundation 試験問題 (Q20-Q25):

                  質問 # 20
                  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?

                  正解:B

                  解説:
                  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


                  質問 # 21
                  During a Foundation classroom exercise, learners are asked to sort four short documents into the categories defined by ISO/IEC 42001. One document is a one-page statement signed by the chief executive that sets direction for responsible AI use, commits to applicable requirements, and commits to continual improvement of the AIMS. Three other documents describe controls, model training procedures, and an incident log. Which categorisation of the signed one-page statement is BEST aligned with Clause 5.2?

                  正解:C

                  解説:
                  Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
                  The signed executive document fulfills all core statutory requirements specified in ISO/IEC 42001 Clause 5.2 (AI Policy). Under Clause 5.2, top management must establish an AI policy that is appropriate to the purpose of the organization, provides a framework for setting AI objectives, includes a commitment to satisfy applicable requirements, and includes a commitment to continual improvement of the AIMS. A formal policy is an overarching governance instrument demonstrating leadership intent, unlike operational procedures (which govern algorithmic training, testing, or incident response), impact assessments (which analyze discrete systems), or control implementation records (which document technical mitigations). Furthermore, while management review minutes (Clause 9.3) contain strategic decisions and resource actions, the baseline governance commitments defined here represent the foundational policy instrument itself.
                  Reference: ISO/IEC 42001:2023 Clause 5.2 (AI policy); GAICC Foundation Module 5 (Governance Instruments and Policy Documentation).


                  質問 # 22
                  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?

                  正解:B

                  解説:
                  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).


                  質問 # 23
                  During an AIMS awareness session, a junior product manager asks: ' In ISO/IEC 42001, who counts as an interested party? ' He wants a definition consistent with Clause 3 and the GAICC Foundation treatment of Clause 4.2. Which option is the BEST answer?

                  正解:A

                  解説:
                  Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
                  ISO/IEC 42001 adopts the standardized Harmonized Structure definition found in Clause 3, defining an interested party (or stakeholder) as a " person or organization that can affect, be affected by, or perceive itself to be affected by a decision or activity " . In the domain of artificial intelligence management, this definition encompasses an expansive stakeholder ecosystem. It extends far beyond formal commercial counterparties, paying clients, and direct regulatory agencies to encompass end-users, employees, subjects whose data is ingested for model training or inference, downstream individuals impacted by algorithmic recommendations, and societal communities. Under Clause 4.2, organizations must identify these relevant interested parties, determine their specific requirements and expectations, and assess which of those requirements translate into legal, mandatory, or voluntary commitments for the AIMS.
                  Reference: ISO/IEC 42001:2023 Clause 3.2 & Clause 4.2; GAICC Foundation Module 4 (Stakeholder Identification and Requirements Analysis).


                  質問 # 24
                  A retail bank is preparing to deploy a new AI tool that ranks loan applicants by predicted creditworthiness.
                  The model was trained on five years of historical lending data drawn from a single metropolitan region.
                  Before go-live, the AIMS lead must propose a fairness check consistent with ISO/IEC 42001 expectations on responsible AI. Which approach BEST reflects the standard ' s intent for bias detection during AI system impact assessment?

                  正解:B

                  解説:
                  Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
                  In algorithmic lending, bias poses significant legal, regulatory, and ethical risks. Under ISO/IEC 42001 Clause 6.1.4 and Annex A.7 (Data for AI systems), organizations deploying consequential decision-making tools must institute rigorous pre-deployment evaluation processes. Because historical datasets frequently encode institutional disparities and regional sampling imbalances, the organization must establish clear, quantifiable fairness acceptance criteria (such as disparate impact ratios, demographic parity, or equalized odds metrics). Model performance across relevant demographic and protected classes must be measured against these predefined thresholds. The findings, trade-offs, and mitigation strategies must be documented within the AI System Impact Assessment record before production release. Deferring testing until post-launch complaints emerge or relying on unverified assumptions violates the core risk prevention and impact governance mandates of the standard.
                  Reference: ISO/IEC 42001:2023 Clause 6.1.4; Annex B.3 (Fairness); Control Domain A.7; GAICC Foundation Module 6 (Algorithmic Fairness and Quantitative Evaluation).


                  質問 # 25
                  ......

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