PECB ISO-IEC-42001-Lead-Auditor Exam With Confidence Using Practice Dumps

Were VeridicAI’s action plans drafted appropriately? Refer to Scenario 8.

Scenario 8: VeridicAI. based in San Francisco. USA, specializes in market research using Al technologies to analyze customer behavior. Founded in 2023, the company

employs natural language processing, machine learning, and predictive analytics to provide real time insights to a range of businesses. VeridicAI has implemented an

artificial intelligence management system AIMS based on ISO/IEC 42001 to manage its Al technologies effectively. The AIMS scope includes select departments within

the company, for which it has received a four-year certification against ISO/IEC 42001. Committed to transparency. VeridicAI publicly shares details of this certification.

As the certification nears its end, VeridicAI is preparing for an audit to renew its certification.

The audit process was led by Sharona, the audit team leader, who is a full-time employee of the certification body. Sharona and the audit team undertook all planned

audit activities. Afterward, they organized the closing meeting with VeridicAl’s management. During the meeting, Sharona and the team made a recap on audit

objectives and scope, presented the audit findings and conclusions, presented identified nonconformities, and organized a session for questions and answers for the

auditee.

VeridicAI received a conditional recommendation for certification, underscoring its compliance with the industry's standards. Sharona confirmed that the company met

the essential requirements but noted some identified minor nonconformities. In response, VeridicAI compiled and submitted a comprehensive action plan that

addresses all identified nonconformities within a designated timeframe. Because of the comprehensive action plan, Sharona did not see the need for an additional on-

site visit to verify the effectiveness of the action plan.

Sharona played an integral role in the certification decision process. Her thorough understanding of VeridicAI's operations, gained from the audit, guided the

certification body towards a well-informed certification decision.

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?

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.