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| Topic |
Details |
| Topic 1 |
- Closing an ISO
- IEC 42001 audit: This section of the exam measures the skills of an AI Compliance Officer and explains how to complete the audit process. It includes reporting findings, managing nonconformities, and conducting follow-ups to ensure continuous improvement and compliance.
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| Topic 2 |
- Fundamental principles and concepts of an AI management system: This section of the exam measures the skills of an AI Compliance Officer and covers the basic principles of artificial intelligence, including ethical use, trustworthiness, and transparency. It introduces the purpose and importance of having an AI management system in place for responsible AI governance.
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| Topic 3 |
- AI management system requirements: This section of the exam measures the skills of a Lead Auditor and focuses on understanding the key requirements outlined in ISO
- IEC 42001. It explains how organizations should structure their AI-related activities and processes to meet compliance standards effectively.
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PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q172-Q177):
NEW QUESTION # 172
Question:
Based on ISO/IEC 42001, which of the following is NOT one of the factors that an organization must consider when determining the risks and opportunities related to an AI system?
- A. The specific algorithms used to develop the AI system
- B. The potential impacts of AI decisions
- C. The domain and application context of the AI system
- D. The intended use of the AI system
Answer: A
Explanation:
ISO/IEC 42001 Clause 6.1.2 specifies that organizations must consider theintended use, domain, application context, and impactsof AI systems when assessing risks and opportunities. Itdoes not require consideration of the specific algorithmsused, because multiple algorithms can be applied to similar risk contexts.
Reference:ISO/IEC 42001:2023 Clause 6.1.2 (Determination of Risks and Opportunities).
NEW QUESTION # 173
Which core element focuses on ensuring that the creators and operators of AI systems are responsible for the outcomes and impacts of those systems?
- A. Accountability
- B. Fairness and Non-Discrimination
- C. Privacy and Security
- D. Safety and Reliability
Answer: A
Explanation:
Accountabilityis the core principle that ensures individuals or organizations involved in thedesign, development, and deploymentof AI systems areresponsible for their outcomes, decisions, and impacts.
According toISO/IEC 42001:2023 - Clause 5.3andClause 6.1.2, accountability requires organizations to define roles and responsibilities, ensure that systems are monitored for risks, and establishescalation or remediation procedureswhen negative impacts occur.
ThePECB Lead Auditor Guide - Domain 1highlights accountability as a key requirement for maintaining trust, legal compliance, and ensuring AI systems operate under clear lines ofgovernance and oversight.
NEW QUESTION # 174
During an audit, the auditor uncovers sensitive data regarding the AI system's algorithms and their decision-making processes. Which principle must the auditor adhere to when handling this information?
- A. Evidence-Based Approach
- B. Fair Presentation
- C. Integrity
- D. Confidentiality
Answer: D
Explanation:
The correct principle isConfidentiality.
ISO 19011:2018 - Clause 4(e)states that auditors mustrespect the confidentiality of informationacquired during the audit and use it only for audit purposes. This includessensitive or proprietary data, such as AI algorithms, models, and proprietary decision logic.
ThePECB Lead Auditor Guide - Domain 3reinforces that anyinternal or sensitive company information discovered must besafeguarded and never disclosedwithout authorization.
Reference: ISO 19011:2018 - Clause 4(e): "Confidentiality - Security of information" PECB Lead Auditor Guide - Domain 3: "Auditor Conduct and Ethics - Confidentiality Requirements"
NEW QUESTION # 175
A financial institution uses an AI system to approve loan applications. Recently, there have been complaints that the system disproportionately denies loans to applicants from certain minority groups.
Which core element should the institution prioritize to address these complaints?
- A. Fairness and Non-Discrimination
- B. Accountability
- C. Privacy and Security
- D. Transparency and Explainability
Answer: A
Explanation:
The most relevant core principle here isFairness and Non-Discrimination. This principle aims to ensure that AI systems do notcreate or perpetuate bias, especially in high-stakes decision-making areas such as financial services.
According toISO/IEC 42001:2023 - Clause 6.1.2andAnnex A (A.8.2.4), organizations must evaluate and manage risks related tobias, discrimination, and ethical implicationsof AI decisions.
In thePECB Lead Auditor Guide, Fairness is cited as critical in sectors likefinance, hiring, healthcare, and where decisions may adversely impact protected groups.
Reference: ISO/IEC 42001:2023 - Clause 6.1.2 (AI-related risks and impact), Annex A: Control A.8.2.4 (Bias and fairness) PECB Lead Auditor Guide - Domain 1: "Core Principles of Trustworthy AI"
NEW QUESTION # 176
A company develops an AI-based health monitoring system that provides insights and recommendations to users. However, users have reported that they do not understand how the system arrives at its recommendations. Which core element should the company enhance to improve user trust and understanding?
- A. Transparency and Explainability
- B. Fairness and Non-Discrimination
- C. Safety and Reliability
- D. Human-Centered Design
Answer: A
Explanation:
The issue in this case revolves aroundusers not understanding the reasoning or logicbehind the AI- generated recommendations. The relevant core element isTransparency and Explainability.
According toISO/IEC 42001:2023 - Clause 6.1.2 and Clause 8.2.3, transparency refers to theclarity of processes, decisions, and data use, while explainability focuses on makingAI system outputs understandableto human users.
ThePECB Lead Auditor Guideidentifies this as a key factor in buildingtrust, usability, and ethical AI adoption, especially insensitive domainslike healthcare.
NEW QUESTION # 177
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