Exam Name: | ISO/IEC 42001:2023 Artificial Intelligence Management System Lead Auditor Exam | ||
Exam Code: | ISO-IEC-42001-Lead-Auditor Dumps | ||
Vendor: | PECB | Certification: | AI management system (AIMS) |
Questions: | 198 Q&A's | Shared By: | aayat |
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.
What is the purpose of conducting an opening meeting in the audit process?
The certification body did not include all departments covered by the AIMS scope in the audit scope. Is this acceptable? Refer to Scenario 5.
Scenario 5: Alterhealth is a mid-sized technology firm based in Toronto. Canada. It develops Al systems for healthcare providers, focusing on improving patient care,
optimizing hospital workflows, and analyzing healthcare data for insights that can improve health outcomes. To ensure responsible and effective use of Al in its
operations, Alterhealth has implemented an artificial intelligence management system AIMS based on ISO/IEC 42001. After a year of having the AIMS in place, the
company decided to apply for a certification audit to obtain certification against ISO/IEC 42001.
The company contracted a certification body to conduct the audit, who assembled the audit team and appointed the audit team leader. The audit team leader had
conducted a certification audit at Alterhealth in the past. The top management of Alterhealth decided to reject the appointment of this auditor because they believed
that they would not receive added value from the audit. In response, the certification body appointed Jonathan, an independent auditor with no prior engagements with
Alterhealth, as the new audit team leader. Jonathan's introduction marked the beginning of a collaborative process aimed at evaluating the conformity of the AIMS to
ISO/IEC 42001 requirements.
The certification body determined the audit scope, which included only specific departments essential to the integration and application of Al, such as the Al Research,
Machine Learning Applications, and Al Ethics and Compliance Departments, and did not cover all of the departments covered by the AIMS scope. Meanwhile,
Alterhealth determined the audit time, setting the necessary time frame for planning and conducting a thorough and effective review to ensure all aspects of the AIMS
within the selected departments were meticulously reviewed.
Afterward, Jonathan received a detailed offer from the certification body, outlining his role and including information related to the audit, such as the audit's duration,
team members, their responsibilities, the limits to the audit engagement, and their salary compensation. With a clear mandate, Jonathan was tasked with a multitude
of responsibilities: defining the audit objectives and criteria, planning the audit process, identifying and addressing audit risks, managing communication with
Alterhealth, overseeing the audit team, and ensuring a smooth and conflict free execution.
With Jonathan's leadership and a well-defined audit framework in place, the certification audit proceeded with a structured and objective evaluation of Alterhealth's
AIMS.
Scenario 6 (continued):
Scenario 6: HappilyAI is a pioneering enterprise dedicated to developing and deploying artificial intelligence Al solutions tailored to enhance customer service experiences across various industries. The company offers innovative products like virtual assistants, predictive analytics tools, and personalized customer interaction platforms. As part of its commitment to operational excellence and innovation, HappilyAI has implemented a robust Al management system AIMS to oversee its Al operations effectively. Currently. HappilyAI is undergoing a comprehensive audit process of its AIMS to evaluate its compliance with ISO/IEC 42001.
Under the leadership of Jess, the audit team began the audit process with meticulous planning and coordination, setting the groundwork for the extensive on-site activities of the stage 1 audit. This initial phase was marked by a comprehensive documentation review. The audit scope encompassed a critical review of HappilyAI's core departments, including Research and Development (R&D), Customer Service, and Data Security, aiming to assess the conformity of HappilyAI's AIMS to the requirements of ISO/IEC 42001.
Afterward, Jess and the team conducted a formal opening meeting with HappilyAI to introduce the audit team and outline the audit activities. The meeting set a collaborative tone for the subsequent phases, where the team engaged in information collection, executed audit tests, identified findings, and prepared draft nonconformity reports while maintaining a strict quality review process.
In gathering evidence, the audit team employed a sampling method, which involved dividing the population into homogeneous groups to ensure a comprehensive and representative data collection by drawing samples from each segment. Furthermore, the team employed observation to deepen their understanding of the Al management processes. They verified the availability of essential documentation, including Al-related policies, and evaluated the communication channels established for reporting incidents.
Additionally, they scrutinized specific monitoring tools designed to track the performance of data acquisition processes, ensuring these tools effectively identify and respond to errors or anomalies. However, a notable challenge emerged as the team encountered a lack of access to documented information that describes how tasks about AIMS are executed. In addition to this, the team identified a potential nonconformity within the Sales Department. They decided not to record this as a nonconformity in the audit report but only communicated it to the HappilyAI's representatives.
During the stage 2 audit, the certification body, in collaboration with HappilyAI, assigned the roles of technical experts within the audit team. Recognized for their specialized knowledge and expertise in artificial intelligence and its applications, these technical experts are tasked with the thorough assessment of the AIMS framework to ensure its alignment with industry standards and best practices, focusing on areas such as data ethics, algorithmic transparency, and Al system security.
Question:
Which observation types did the audit team use to enhance their understanding of the AI management processes?