PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor - ISO-IEC-42001-Lead-Auditor Exam Questions

QUESTION NO: 1
What should the auditor assess to verify the establishment of an internal audit program?

QUESTION NO: 2
Based on Scenario 4, the audit team employed the same level of effort and techniques across all audit areas. Is this recommended?
Scenario 4: Finalogic leads the application of artificial intelligence in the financial services sector, which is used to improve risk assessment, fraud detection, and customer service. The company has implemented an artificial intelligence management system AIMS based on ISO/IEC 42001 to ensure operational quality, ethical Al use, regulatory compliance, and transparency, allowing for consistent oversight and structured governance.
This month, Finalogic is undergoing an audit to obtain certification against ISO/IEC 42001, a critical step in demonstrating its commitment to responsible Al. To evaluate Finalogic's conformity to the audit criteria, the audit team adopted a comprehensive, evidence-based approach. The gathered evidence ranged from analyses of unquantifiable information to analyses of samples related to determining the audit criteria-including internal reports generated by Finalogic's own Al system-which assert successful integration and compliance with the standard.
Additionally, presentations by the company's Al team during the audit highlighted the system's success in customer service enhancements and fraud detection, emphasizing improved efficiency, decision making accuracy, and user trust. An evaluation report prepared by an independent third party firm specializing in Al systems also provided an objective review of Finalogic's AIMS. It assessed the system's effectiveness, bias, and compliance through a thorough examination.
During the audit, the audit team applied the same level of effort and utilized the same techniques across all audit areas, regardless of their risk level. This strategy ensured a consistent and thorough evaluation of the AIMS, uncovering any latent weaknesses or inefficiencies that might otherwise go unnoticed.
Despite Finalogic's advanced AIMS and adherence to ISO/IEC 42001 for ethical Al practices, there remains a risk of Al algorithms inadvertently perpetuating bias or making inaccurate predictions due to unforeseen flaws in training data or algorithmic models. This could lead to unfair loan rejections or approvals, potentially causing financial losses or damaging the company's reputation for fairness and accuracy in its financial services. By acknowledging these risks. Finalogic remains committed to refining its Al governance, implementing bias mitigation strategies, and enhancing transparency to uphold its reputation as a leader in Al driven financial services.

QUESTION NO: 3
Question:
Which of the following is NOT a guide's responsibility?

QUESTION NO: 4
A few months after an audit, the auditor returns to the company to verify that corrective actions have been effectively implemented and that the issues identified have been resolved. Which step of the management system audit process does this activity correspond to?

QUESTION NO: 5
After an AIMS audit, the auditee made the required corrections and implemented corrective actions.
However, it did not notify the auditor that led the audit regarding the completion status of the corrections and corrective actions since the auditee had been recommended for certification under the condition that corrective actions be submitted without a prior visit. Is this acceptable?

QUESTION NO: 6
According to scenario 9, was the audit team leader's decision to conduct a visit to ImoAI's premises acceptable?
Scenario 9: ImoAl, headquartered in California. USA, provides Al solutions for various industries such as finance, healthcare, retail, and manufacturing. Its clients include major financial institutions seeking Al powered fraud detection systems, healthcare providers leveraging Al for diagnostics and patient care, retailers optimizing supply chain management with Al forecasting, and manufacturers enhancing production efficiency through Al-driven automation.
ImoAl has recently undergone a certification audit to ensure that its artificial intelligence management system AIMS is in compliance with ISO/IEC 42001. During the audit, a major nonconformity related to data security protocols was identified, requiring urgent resolution.
ImoAl swiftly initiated corrective actions to address the
major nonconformity. The audit follow-up, in agreement with the auditee, was scheduled six weeks after the initial audit. As part of exploring alternatives to audit follow-up, the audit team leader chose to verify the effectiveness of the actions taken by the auditee by scheduling a specific visit to ImoAI's premises.
The follow-up audit involved a thorough evaluation of the effectiveness of these actions. The audit team leader thoroughly examined the corrections, corrective actions, and root cause analysis conducted by ImoAl to assess whether they adequately addressed the nonconformity identified during the initial audit.
In conjunction with the external audit follow-up, ImoAl engaged its internal auditing team to oversee the progress of corrective actions. The AIMS manager of ImoAl updated Ms. Rebecca Hayes, the internal auditor, on the status of corrections and corrective actions prompted by the nonconformity identified during the external audit. Subsequently, Ms. Hayes thoroughly reviewed these measures, analyzing the corrections, root causes, and effectiveness of the implemented actions.
Upon satisfactory validation of the action plans, ImoAl was recommended for certification.

QUESTION NO: 7
Which control in Annex A of ISO 42001:2023 focuses on the need for stakeholder engagement in AI system development?

QUESTION NO: 8
Which of the following statements best describes the evidence collection process carried out by the audit team at Finalogic? Refer to Scenario 4.
Scenario 4: Finalogic leads the application of artificial intelligence in the financial services sector, which is used to improve risk assessment, fraud detection, and customer service. The company has implemented an artificial intelligence management system AIMS based on ISO/IEC 42001 to ensure operational quality, ethical Al use, regulatory compliance, and transparency, allowing for consistent oversight and structured governance.
This month, Finalogic is undergoing an audit to obtain certification against ISO/IEC 42001, a critical step in demonstrating its commitment to responsible Al. To evaluate Finalogic's conformity to the audit criteria, the audit team adopted a comprehensive, evidence-based approach. The gathered evidence ranged from analyses of unquantifiable information to analyses of samples related to determining the audit criteria-including internal reports generated by Finalogic's own Al system-which assert successful integration and compliance with the standard.
Additionally, presentations by the company's Al team during the audit highlighted the system's success in customer service enhancements and fraud detection, emphasizing improved efficiency, decision making accuracy, and user trust. An evaluation report prepared by an independent third party firm specializing in Al systems also provided an objective review of Finalogic's AIMS. It assessed the system's effectiveness, bias, and compliance through a thorough examination.
During the audit, the audit team applied the same level of effort and utilized the same techniques across all audit areas, regardless of their risk level. This strategy ensured a consistent and thorough evaluation of the AIMS, uncovering any latent weaknesses or inefficiencies that might otherwise go unnoticed.
Despite Finalogic's advanced AIMS and adherence to ISO/IEC 42001 for ethical Al practices, there remains a risk of Al algorithms inadvertently perpetuating bias or making inaccurate predictions due to unforeseen flaws in training data or algorithmic models. This could lead to unfair loan rejections or approvals, potentially causing financial losses or damaging the company's reputation for fairness and accuracy in its financial services. By acknowledging these risks. Finalogic remains committed to refining its Al governance, implementing bias mitigation strategies, and enhancing transparency to uphold its reputation as a leader in Al driven financial services.

QUESTION NO: 9
Which among the following is NOT a core element of AIMS?

QUESTION NO: 10
Question:
Which of the following are the core functions of the NIST AI Risk Management Framework that help with addressing AI risks in practice?

QUESTION NO: 11
A financial institution needs to develop a system that can understand and process large volumes of unstructured text data from financial reports to extract key information and insights. Which AI concept would be best suited for this task?