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GAICC ISO/IEC 42001 Foundation : ISO-IEC-42001-Foundation

ISO-IEC-42001-Foundation

考試編碼: ISO-IEC-42001-Foundation

考試名稱: GAICC ISO/IEC 42001 Foundation

更新時間: 2026-11-04

問題數量: 42 題

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GAICC ISO-IEC-42001-Foundation 考試大綱主題:

章節權重目標
主題 1: 人工智慧管理系統 (AIMS) 的核心組件40%- 營運控制與文件化要求
  • 1. AI 事件日誌與營運文件
    • 2. 資料治理程序
      • 3. AI 模型變更紀錄
        - AI 政策與組織價值觀
        • 1. 將 AI 風險管理整合至組織價值觀中
          • 2. 領導階層對公平性與透明度的承諾
            • 3. AI 政策的目的與角色
              - 效能評估與持續改善
              • 1. 透過 PDCA 循環進行持續改善
                • 2. 矯正措施
                  • 3. 內部審查
                    • 4. AI 系統監控
                      - ISO/IEC 42001 第 4–10 章的主要要求
                      • 1. 支援
                        • 2. 領導力
                          • 3. 規劃
                            • 4. 組織環境
                              • 5. 改善
                                • 6. 效能評估
                                  • 7. 營運
                                    - AI 風險與影響評估
                                    • 1. AI 系統影響評估 (AI-SIA)
                                      • 2. AI 風險評估概念
                                        • 3. AI 影響評估文件化
                                          主題 2: AI 治理基礎與 ISO/IEC 42001 架構40%- AI 治理相關之關鍵術語與定義
                                          • 1. 當責性、偏見與透明度
                                            • 2. AI 生命週期與持續改善
                                              • 3. 人工智慧管理系統 (AIMS)
                                                - ISO/IEC 42001 的目的與範圍
                                                • 1. 人工智慧管理系統 (AIMS) 的目的與目標
                                                  • 2. 組織對 AI 治理架構的採納
                                                    • 3. 與倫理 AI 原則及永續數位轉型的對齊
                                                      - ISO/IEC 42001 與其他管理標準之間的關係
                                                      • 1. 與 ISO/IEC 27001 的關係
                                                        • 2. 與 ISO/IEC 27701 的關係
                                                          • 3. 與 ISO 9001 的關係
                                                            - ISO/IEC 42001 的架構與章節
                                                            • 1. ISO/IEC 42001 的架構與順序
                                                              • 2. 計畫-執行-檢查-行動 (PDCA) 循環
                                                                • 3. 第 4 至 10 章涵蓋的要求
                                                                  - AI 治理中的風險導向思維
                                                                  • 1. AI 風險評估與緩解
                                                                    • 2. AI 風險與組織目標的整合
                                                                      • 3. AI 相關風險的識別
                                                                        主題 3: 負責任的 AI、倫理與利害關係人意識20%- AI 系統的透明度與可解釋性
                                                                        • 1. 提供使用者與監管機構易懂的 AI 決策
                                                                          • 2. AI 決策的可解釋性
                                                                            • 3. AI 系統的透明度
                                                                              - 溝通、利害關係人參與與信任建立
                                                                              • 1. 負責任的 AI 政策
                                                                                • 2. 公開揭露與利害關係人溝通
                                                                                  • 3. 透過利害關係人參與建立信任
                                                                                    • 4. AI 倫理聲明
                                                                                      - AI 治理中的利害關係人角色
                                                                                      • 1. 內部利害關係人
                                                                                        • 組織領導階層
                                                                                        • AI 開發人員
                                                                                        • 法遵團隊
                                                                                      • 2. 外部利害關係人
                                                                                        • 客戶
                                                                                        • 監管機構
                                                                                        • 社會大眾
                                                                                      - 負責任 AI 的倫理原則
                                                                                      • 1. 公平性與無歧視
                                                                                        • 2. 人工監督
                                                                                          • 3. 隱私
                                                                                            • 4. 當責性

                                                                                              最新的 GAICC Certification ISO-IEC-42001-Foundation 免費考試真題:

                                                                                              問題 #1
                                                                                              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. Demonstrable due diligence and an evidentiary foundation that supports trust with regulators, customers, and the public regarding the organisation ' s AI governance.
                                                                                              B. Automatic conformity with the EU AI Act and equivalent global AI legislation, removing the need for separate legal-compliance reviews of AI deployments.
                                                                                              C. 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.
                                                                                              D. Elimination of model bias in deployed AI systems through the application of Annex A controls, regardless of the training data used during development.


                                                                                              問題 #2
                                                                                              A small insurance firm is performing its first context analysis under Clause 4.1 of ISO/IEC 42001. The compliance lead lists the factors the team should consider. Which item BEST illustrates an EXTERNAL issue relevant to the AIMS, consistent with GAICC Foundation Module 4?

                                                                                              A. The composition of the firm ' s senior leadership team and the way responsibilities for AI initiatives are currently allocated across internal business units.
                                                                                              B. The firm ' s internal organisational culture and the maturity of its data engineering team, both of which influence how AI projects are scoped and delivered.
                                                                                              C. The forthcoming enforcement of regional AI legislation, such as the EU AI Act, and evolving public expectations about transparency in automated insurance decisions.
                                                                                              D. The current inventory of AI models deployed in the underwriting platform and the technical debt accumulated within the firm ' s own internal data pipelines over time.


                                                                                              問題 #3
                                                                                              A multinational manufacturer is debating whether to put its Clause 4.3 scope statement in writing or simply describe it verbally to its certification body. The internal auditor reminds the team of an expectation set out in Clause 4.3 and reinforced in GAICC Foundation Module 4. Which statement BEST reflects that expectation?

                                                                                              A. An oral description supplied to the lead auditor during the opening meeting of the Stage 2 certification audit is sufficient to satisfy the Clause 4.3 scope expectation.
                                                                                              B. The AIMS scope must be available as documented information so that interested parties, including the audit team, can understand what is included and what is excluded.
                                                                                              C. Scope is implicit in the AI inventory, so a separate scope statement is unnecessary provided that the AI inventory is current and accessible to the external auditor.
                                                                                              D. The certification body is required to draft the AIMS scope statement on the organisation ' s behalf, based on documents it inspects during the Stage 1 documentation review.


                                                                                              問題 #4
                                                                                              A municipal council trains an AI tool to predict pothole locations using crowdsourced reports submitted through a smartphone app. After deployment, the tool consistently recommends maintenance in wealthier suburbs where smartphone uptake is highest, while under-recommending in lower-income areas where reports are sparse. A foundation learner is asked which type of bias BEST describes what is occurring and which responsible-AI consideration is most directly affected.

                                                                                              A. Label bias, because the council misclassified individual reports during the training data labelling stage, and the resulting label errors propagated into the model ' s prediction patterns across the different neighbourhoods served by the council.
                                                                                              B. Automation bias, because human operators defer to the AI tool ' s recommendations without applying their own knowledge of which neighbourhoods would benefit from inspection regardless of whether residents reported damage through the app.
                                                                                              C. Sample selection bias, because the training data systematically over-represents neighbourhoods with higher smartphone uptake and under-represents others, distorting the fairness of the maintenance outcomes the model recommends.
                                                                                              D. Confirmation bias, because the council ' s road maintenance team trusts the tool more than it should, and that trust reinforces the existing recommendation pattern through downstream operational scheduling that follows the tool ' s outputs.


                                                                                              問題 #5
                                                                                              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 Impact Mitigation Strategy-the documented plan describing how an organisation will treat residual AI risks identified through impact assessment activities.
                                                                                              B. Audit Integrity Maintenance Schedule-the calendar that governs internal audit cadence, surveillance audits, and recertification audits across a three-year cycle.
                                                                                              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.


                                                                                              問題與答案:

                                                                                              問題 #1
                                                                                              答案: A
                                                                                              問題 #2
                                                                                              答案: C
                                                                                              問題 #3
                                                                                              答案: B
                                                                                              問題 #4
                                                                                              答案: C
                                                                                              問題 #5
                                                                                              答案: C

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