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Based on scenario 3, which of the following AI technologies did Augustine utilize to analyze large datasets? Refer to the fourth paragraph.
Scenario 3: Heala specializes in developing Al-driven solutions for the healthcare sector. With a keen focus on leveraging Al to revolutionize patient care, diagnostics,
and treatment planning, the company 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.
It contracted a local certification body, who established the audit team and assigned the audit team leader. Augustine, the designated audit team leader, has a wide
range of skills relevant to various auditing domains. His proficiency encompasses audit principles, processes, and methods, as well as standards for management
systems and additional references. Furthermore, he is knowledgeable about the Heala’s context and relevant statutory and regulatory requirements.
Augustine first gathered management review records, interested party feedback logs, and revision histories for Heala's AIMS. This crucial step laid the groundwork for
a deeper investigation, which included conducting comprehensive interviews with key personnel to understand how feedback from interested parties directly
influenced updates to the AIMS and its strategic direction. Augustine's thorough evaluation process aimed to verify Heala's commitment to integrating the needs and
expectations of interested parties, a critical requirement of ISO/IEC 42001.
Augustine also integrated a sophisticated Al tool to analyze large datasets for patterns and anomalies, and thus have a more informed and data driven audit process.
This Al solution, known for its ability to sift through vast amounts of data with unparalleled speed and accuracy, enabled Augustine to identify irregularities and trends
that would have been nearly impossible to detect through manual methods. The tool was also helpful in preparing hypotheses based on data.
During the audit. Augustine failed to fully consider Heala’s critical processes, expectations, the complexity of audit tasks, and necessary resources beforehand. This
oversight compromised the audit integrity and reliability, reflecting a significant deviation from the diligence and informed judgment expected of auditors.
Scenario 1 (continued):
To ensure the integrity of the AI system, Future Horizon Academy has implemented measures to ensure that training data remain isolated from data that could lead to harmful or undesirable outcomes. The institution adds significant data elements as metadata, transforms the data into a format usable by the AI system, and uses data from one or more trusted sources.
Committed to standardization and continual improvement, Future Horizon Academy decided to implement an artificial intelligence management system (AIMS) based on ISO/IEC 42001 that would help the institution increase operational efficiency, resulting in improved processes.
After having the AIMS in place for a year, the institution decided to apply for a certification audit to get certified against ISO/IEC 42001. Prior to the certification audit, the institution conducted an internal audit and management review to ensure that the AIMS aligns with the institution’s own requirements and that the system is being maintained effectively.
Question:
Prior to the certification audit, the institution conducted an internal audit and management review. Is this acceptable?
Question:
An auditor has been assigned to perform a certification audit for an organization. However, the auditor discovers that their close relative holds a key management position within the organization being audited. What kind of threat to impartiality does this situation represent?
Scenario 5: Aizoia, located in Washington, DC, has revolutionized data analytics, software development, and consulting by using advanced Al algorithms. Central to its success is an Al platform adept at deciphering complex datasets for enhanced insights. To ensure
that its Al systems operate effectively and responsibly, Aizoia has established an artificial intelligence management system AIMS based on ISO/IEC 42001 and is now undergoing a certification audit to verify the AIMS’s effectiveness and compliance with ISO/IEC 42001.
Robert, one of the certification body's full-time employees with extensive experience in auditing, was appointed as the audit team leader despite not receiving an official offer for the role. Understanding the critical importance of assembling an audit team with diverse skills
and knowledge, the certification body selected competent individuals to form the audit team. The certification body appointed a team of seven members to conduct the audit after considering the specific conditions of the audit mission and the required competencies.
Initially, the certification body, in cooperation with Aizoia, defined the extent and boundaries of the audit, specifying the sites (whether physical or virtual), organizational units, and the activities for review. Once the scope, processes, methods, and team composition had been defined, the certification body provided the audit team leader with extensive information, including the audit objectives and documented details on the scope, processes, methods, and team compositions.
Additionally, the certification body shared contact details of the auditee, including locations, time frames, and the duration of the audit activities to be conducted. The team leader also received information needed for evaluating and addressing identified risks and opportunities for the achievement of the audit objectives.
Before starting the audit, Robert wrote an engagement letter, introducing himself to Aizoia and outlining plans for scheduling initial contact. The initial contact aimed to confirm the communication channels, establish the audit team's authority to conduct the audit, and summarize the audit's key aspects, such as objectives, scope, criteria, methods, and team composition. During this first meeting, Robert emphasized the need for access to essential information that would help to conduct the audit.
Moreover, audit logistics, such as scheduling, access, health and safety arrangements, observer attendance, and the need for guides or interpreters, were thoroughly planned. The meeting also addressed areas of interest or concern, preemptively resolving potential issues and finalizing any matters related to the audit team composition.
As the audit progressed, Robert recognized the complexity of Aizoia’s operations, leading him to conclude that a review of its Al-related data governance practices was essential for compliance with ISO/IEC 42001. He discussed this need with Aizoia's management, proposing an expanded audit scope. After careful consideration, they agreed to conduct a thorough review of the Al data governance practices, but there was no mutual decision to officially change the audit scope. Consequently. Robert decided to proceed with the audit based on the original scope, adhering to the initial audit plan, and documented the conversation and decision accordingly.
Based on the scenario above, answer the following question:
Question:
Based on Scenario 5, did the certification body take the necessary steps to assure the overall competence of the audit team?
A retail company wants to implement a system that can predict customer buying behavior based on their browsing history and past purchases. Which AI concept would be most suitable for developing this predictive system?
During an audit, the auditor employed data analytic technology to identify anomalies and unusual patterns in the decision-making processes of an AI system used by a financial institution to approve or reject loan applications. Which data analytic technology did the auditor use?
Which among the following core concepts of Artificial Intelligence uses artificial neural networks inspired by the human brain to process complex data like images, text, and speech?
Which requirement of Clause 7 (Support) of ISO/IEC 42001 did OptiFlow NOT implement? Refer to Scenario 2.
Scenario 2: OptiFlow is a logistics company located in New Delhi, India. The company has enhanced its operational efficiency and customer service by integrating AI across various domains, including route optimization, inventory management, and customer support. Recognizing the importance of AI in its operations, OptiFlow decided to implement an Artificial Intelligence Management System (AIMS) based on ISO/IEC 42001 to oversee and optimize the use of AI technologies.
To address Clauses 4.1 and 4.2 of the standard, OptiFlow identified and analyzed internal and external issues and needs and expectations of interested parties. During this phase, it identified specific risks and opportunities related to AI deployment, considering the system's domain, application context, intended use, and internal and external environments. Central to this initiative was the establishment and maintenance of AI risk criteria, a foundational step that facilitated comprehensive AI risk assessments, effective risk treatment strategies, and precise evaluations of risk impacts. This implementation aimed to meet AIMS’s objectives, minimize adverse effects, and promote continuous improvement. OptiFlow also planned and integrated strategies to address risks and opportunities into AIMS’s processes and assessed their effectiveness.
OptiFlow set measurable AI objectives aligned with its AI policy across all organizational levels, ensuring they met applicable requirements and matched the company’s vision. The company placed strong emphasis on the monitoring and communication of these objectives, ensuring they were updated annually or as needed to reflect changes in technology, market demands, or internal processes. It also documented the objectives, making them accessible across the company.
To guarantee a structured and consistent AI risk assessment process, OptiFlow emphasized alignment with its AI policy and objectives. The process included ensuring consistency and comparability, identifying, analyzing, and evaluating AI risks.
OptiFlow prioritizes its AIMS by allocating the necessary resources for its comprehensive development and continuous enhancement. The company carefully defines the competencies needed for personnel affecting AI performance, ensuring a high level of expertise and innovation.
OptiFlow also manages effective internal and external communications about its AIMS, aligning with ISO/IEC 42001 requirements by maintaining and controlling all required documented information. This documentation is meticulously identified, described, and updated to ensure its relevance and accessibility. Through these strategic efforts, OptiFlow upholds a commitment to excellence and leadership in AI management practices.
To comply with Clause 9 of ISO/IEC 42001, the company determined what needs to be monitored and measured in the AIMS. It planned, established, implemented, and maintained an audit program, reviewed the AIMS at planned intervals, documented review results, and initiated a continuous feedback mechanism from all interested parties to identify areas of improvement and innovation within the AIMS
Question:
Which of the following should be considered when determining the feasibility of the audit?
Question:
While preparing for an AIMS audit, a technology company faced an issue: the auditor lacked a required security clearance for accessing sensitive information related to government contracts.
The company requested a replacement auditor. Is this acceptable?
What did the audit team use to assess the implementation of AI-related controls, verify compliance with established procedures, and identify any gaps in adherence to the AIMS requirements? Refer to Scenario 6
Based on Scenario 8, did Sharona and the audit team address all essential aspects during the closing meeting?
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.
Scenario: NeuraGen, founded by a team of AI experts and data scientists, has gained attention for its advanced use of artificial intelligence. It specializes in developing personalized learning platforms powered by AI algorithms. MindMeld, its innovative product, is an educational platform that uses machine learning and stands out by learning from both labeled and unlabeled data during its training process. This approach allows MindMeld to use a wide range of educational content and personalize learning experiences with exceptional accuracy. Furthermore, MindMeld employs an advanced AI system capable of handling a wide variety of tasks, consistently delivering a satisfactory level of performance. This approach improves the effectiveness of educational materials and adapts to different learners' needs.
NeuraGen skillfully handles data management and AI system development, particularly for MindMeld. Initially, NeuraGen sources data from a diverse array of origins, examining patterns, relationships, trends, and anomalies. This data is then refined and formatted for compatibility with MindMeld, ensuring that any irrelevant or extraneous information is systematically eliminated. Following this, values are adjusted to a unified scale to facilitate mathematical comparability. A crucial step in this process is the rigorous removal of all personally identifiable information (PII) to protect individual privacy. Finally, the data is subjected to quality checks to assess its completeness, identify any potential bias, and evaluate other factors that could impact the platform's efficacy and reliability.
NeuraGen has implemented an advanced artificial intelligence management system (AIMS) based on ISO/IEC 42001 to support its efforts in AI-driven education. This system provides a framework for managing the life cycle of AI projects, ensuring that development and deployment are guided by ethical standards and best practices.
NeuraGen's top management is key to running the AIMS effectively. Applying an international standard that specifically provides guidance for the highest level of company leadership on governing the effective use of AI, they embed ethical principles such as fairness, transparency, and accountability directly into their strategic operations and decision-making processes.
While the company excels in ensuring fairness, transparency, reliability, safety, and privacy in its AI applications, actively preventing bias, fostering a clear understanding of AI decisions, guaranteeing system dependability, and protecting user data, it struggles to clearly define who is responsible for the development, deployment, and outcomes of its AI systems. Consequently, it becomes difficult to determine responsibility when issues arise, which undermines trust and accountability, both critical for the integrity and success of AI initiatives.
What type of machine learning does MindMeld utilize?
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?
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?
Question:
Which of the following responsibilities belongs to the certification body?
A social media platform wants to automatically detect and remove inappropriate content from images and videos uploaded by users. Which AI concept is most appropriate for this task?
Question:
A certification body is conducting surveillance audits for a company managing multiple sites, including a temporary construction site with a limited duration.
The audit team is considering whether the presence of this temporary site should influence the frequency of surveillance audits.
Can this factor necessitate an adjustment in the audit schedule?
In which step are the audit findings, including nonconformities, documented and reviewed?
Scenario 8 (continued):
Scenario 8:
Scenario 8: InnovateSoft, headquartered in Berlin, Germany, is a software development company known for its innovative solutions and commitment to excellence. It specializes in custom software solutions, development, design, testing, maintenance, and consulting, covering both mobile apps and web development. Recently, the company underwent an audit to evaluate the effectiveness and
compliance of its artificial intelligence management system AIMS against ISO/IEC 42001.
The audit team engaged with the auditee to discuss their findings and observations during the audit's final phases. After evaluating the evidence, the audit team presented their audit findings to InnovateSoft, highlighting the identified nonconformities.
Upon receiving the audit findings, InnovateSoft accepted the conclusions but expressed concerns about some findings inaccurately reflecting the efficiency of their software development processes. In response, the company provided new evidence and additional information to alter the audit conclusions for a couple of minor nonconformities identified. After thorough consideration, the audit team leader clarified that the new evidence did not significantly alter the core conclusions drawn for the nonconformities. Therefore, the certification body issued a certification recommendation conditional upon the filing of corrective action plans without a prior visit.
InnovateSoft accepted the decision of the certification body. The top management of the company also sought suggestions from the audit team on resolving the identified nonconformities. The audit team leader offered solutions to address the issues, fostering a collaborative effort between the auditors and InnovateSoft. During the closing meeting, the audit team covered key topics to enhance transparency. They clarified to InnovateSoft that the audit evidence was based on a sample, acknowledging the inherent uncertainty. The method and time frame of reporting and grading findings were discussed to provide a structured overview of nonconformities. The certification body's process for handling nonconformities, including potential consequences, guided InnovateSoft on corrective actions. The time frame for presenting a plan for correction was
communicated, emphasizing urgency. Insights into the certification body’s post-audit activities were provided, ensuring ongoing support.
Lastly, the audit team briefed InnovateSoft on complaint and appeal handling.
InnovateSoft submitted the action plans for each nonconformity separately, describing only the detected issues and the corrective actions planned to address the detected nonconformities. However, the submission slightly exceeded the specified period of 45 days set by the certification body, arriving three days later. InnovateSoft explained this by attributing the delay to unexpected challenges encountered during the compilation of the action plans.
During the closing meeting, the audit team covered key topics including sampling uncertainty, timelines for corrections, and complaint/appeals procedures.
Question:
Based on Scenario 8, was the concluding meeting comprehensive in addressing all essential components of the audit?
Question:
During an audit, the auditor employed data analytic technology to identify anomalies and unusual patterns in the decision-making processes of an AI system used by a financial institution to approve or reject loan applications. Which data analytic technology did the auditor use?
How does the proposed EU AI Act plan to enforce AI regulations across Member States and support innovation?
Based on Scenario 6, which aspect of assigning roles and responsibilities to the audit team is incorrect?
Scenario 6: AfrinovAl, based in Nairobi, Kenya, develops Al tools to improve agriculture in Africa. The company uses Al to address challenges faced by African farmers,
offering tools for analyzing satellite images to monitor crop health, predicting pest and disease outbreaks, and automating irrigation to use water more efficiently.
AfrinovAl has implemented an artificial intelligence management system AIMS based on ISO/IEC 42001, reflecting its commitment to ethical and effective
management practices in its Al solutions.
AfrinovAl is undergoing a certification audit to obtain certification against ISO/IEC 42001. Samuel, an expert in Al technologies and management systems, is heading
the audit team. Before initiating the audit process, Samuel reviewed and approved the audit plan, which served as a basis for the agreement between the certification
body and the auditee.
During the stage 1 audit, the audit team focused on a detailed evaluation of AfrinovAI's documented information, critically assessing both their format and content.
Samuel held a meeting with his team to prepare for the stage 2 audit. During this meeting, responsibilities were allocated among team members, assigning specific
processes, functions, sites, areas, or activities based on each auditor's expertise and the audit requirements. He also assigned auditing roles to technical experts to
leverage their specialized knowledge in specific areas.
In the stage 2 audit, Samuel and his team held an opening meeting during which Samuel explained how the audit activities will be undertaken. AfrinovAI's also
participated in the meeting. Afterward, the audit team conducted on-site activities to closely inspect the physical locations of the audited processes. The interviewed
individuals from the auditee's personnel regarding the AIMS and observed some of the operations of the auditee. They also used sampling and technical verification to
assess the implementation of Al-related controls, verify compliance with established procedures, and identify any gaps in adherence to the AIMS requirements. They
skipped the review of documented information related to the AIMS since some documents had already been reviewed during the stage 1 audit. This comprehensive
approach ensured a thorough evaluation of AfrinovAI's AIMS against the ISO/IEC 42001.
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?
A healthcare provider wants to develop a system that can analyze medical images, such as X-rays and MRIs, to assist doctors in diagnosing diseases. Which AI concept is most relevant for this application?
Which international standard does the top management of NeuraGen apply to govern the effective use of AI? (Refer to Scenario 1)
Scenario: NeuraGen, founded by a team of AI experts and data scientists, has gained attention for its advanced use of artificial intelligence. It specializes in developing personalized learning platforms powered by AI algorithms. MindMeld, its innovative product, is an educational platform that uses machine learning and stands out by learning from both labeled and unlabeled data during its training process. This approach allows MindMeld to use a wide range of educational content and personalize learning experiences with exceptional accuracy. Furthermore, MindMeld employs an advanced AI system capable of handling a wide variety of tasks, consistently delivering a satisfactory level of performance. This approach improves the effectiveness of educational materials and adapts to different learners' needs.
NeuraGen skillfully handles data management and AI system development, particularly for MindMeld. Initially, NeuraGen sources data from a diverse array of origins, examining patterns, relationships, trends, and anomalies. This data is then refined and formatted for compatibility with MindMeld, ensuring that any irrelevant or extraneous information is systematically eliminated. Following this, values are adjusted to a unified scale to facilitate mathematical comparability. A crucial step in this process is the rigorous removal of all personally identifiable information (PII) to protect individual privacy. Finally, the data is subjected to quality checks to assess its completeness, identify any potential bias, and evaluate other factors that could impact the platform's efficacy and reliability.
NeuraGen has implemented an advanced artificial intelligence management system (AIMS) based on ISO/IEC 42001 to support its efforts in AI-driven education. This system provides a framework for managing the life cycle of AI projects, ensuring that development and deployment are guided by ethical standards and best practices.
NeuraGen's top management is key to running the AIMS effectively. Applying an international standard that specifically provides guidance for the highest level of company leadership on governing the effective use of AI, they embed ethical principles such as fairness, transparency, and accountability directly into their strategic operations and decision-making processes.
While the company excels in ensuring fairness, transparency, reliability, safety, and privacy in its AI applications, actively preventing bias, fostering a clear understanding of AI decisions, guaranteeing system dependability, and protecting user data, it struggles to clearly define who is responsible for the development, deployment, and outcomes of its AI systems. Consequently, it becomes difficult to determine responsibility when issues arise, which undermines trust and accountability, both critical for the integrity and success of AI initiatives.
While preparing for an AIMS audit, a technology company faced an issue with the auditor assigned by the certification body. The auditor lacked a security clearance, which is mandatory for accessing certain sensitive information involved in the audit due to the company's government contracts and proprietary technology. The company requested to replace the auditor with someone who meets the security requirements to ensure the audit can proceed without compromising sensitive information or violating government regulations. Is this acceptable?
Which control in Annex A emphasizes the importance of security measures in AI system operations?
Which statement regarding the confidentiality of documented information related to or collected from the auditee is NOT accurate?
Did OptiFlow comply with ISO/IEC 42001 requirements when establishing its AI objectives? Refer to Scenario 2.
Scenario 2: OptiFlow is a logistics company located in New Delhi, India. The company has enhanced its operational efficiency and customer service by integrating AI across various domains, including route optimization, inventory management, and customer support. Recognizing the importance of AI in its operations, OptiFlow decided to implement an Artificial Intelligence Management System (AIMS) based on ISO/IEC 42001 to oversee and optimize the use of AI technologies.
To address Clauses 4.1 and 4.2 of the standard, OptiFlow identified and analyzed internal and external issues and needs and expectations of interested parties. During this phase, it identified specific risks and opportunities related to AI deployment, considering the system's domain, application context, intended use, and internal and external environments. Central to this initiative was the establishment and maintenance of AI risk criteria, a foundational step that facilitated comprehensive AI risk assessments, effective risk treatment strategies, and precise evaluations of risk impacts. This implementation aimed to meet AIMS’s objectives, minimize adverse effects, and promote continuous improvement. OptiFlow also planned and integrated strategies to address risks and opportunities into AIMS’s processes and assessed their effectiveness.
OptiFlow set measurable AI objectives aligned with its AI policy across all organizational levels, ensuring they met applicable requirements and matched the company’s vision. The company placed strong emphasis on the monitoring and communication of these objectives, ensuring they were updated annually or as needed to reflect changes in technology, market demands, or internal processes. It also documented the objectives, making them accessible across the company.
To guarantee a structured and consistent AI risk assessment process, OptiFlow emphasized alignment with its AI policy and objectives. The process included ensuring consistency and comparability, identifying, analyzing, and evaluating AI risks.
OptiFlow prioritizes its AIMS by allocating the necessary resources for its comprehensive development and continuous enhancement. The company carefully defines the competencies needed for personnel affecting AI performance, ensuring a high level of expertise and innovation.
OptiFlow also manages effective internal and external communications about its AIMS, aligning with ISO/IEC 42001 requirements by maintaining and controlling all required documented information. This documentation is meticulously identified, described, and updated to ensure its relevance and accessibility. Through these strategic efforts, OptiFlow upholds a commitment to excellence and leadership in AI management practices.
To comply with Clause 9 of ISO/IEC 42001, the company determined what needs to be monitored and measured in the AIMS. It planned, established, implemented, and maintained an audit program, reviewed the AIMS at planned intervals, documented review results, and initiated a continuous feedback mechanism from all interested parties to identify areas of improvement and innovation within the AIMS
Scenario 9 (continued):
Scenario 9: Securisai, located in Tallinn. Estonia, specializes in the development of automated cybersecurity solutions that utilize AI systems. The company recently implemented an artificial intelligence management system AIMS in accordance with ISO/IEC 42001. In doing so, the company aimed to manage its Al-driven systems’ capabilities to detect and mitigate cyber threats more efficiently and ethically. As part of its commitment to upholding the highest standards of Al use and management, Securisai underwent a certification audit to demonstrate compliance with ISO/IEC 42001.
The audit process comprised two main stages: the initial or stage 1 audit focused on reviewing Securisai's documentation, policies, and procedures related to its AIMS. This review laid the groundwork for the stage 2 audit, which involved a comprehensive, on-site evaluation
of the actual implementation and effectiveness of the AIMS within Securisai's operations. The goal was to observe the AIMS in operation, ensuring that it not only existed on paper but was effectively integrated into the company's daily activities and cybersecurity strategies.
After the audit, Roger, Securisai's internal auditor, addressed the action plans devised to rectify nonconformities identified during the certification audit. He developed a long term strategy, highlighting key AIMS processes for triennial audits. Roger's internal audits play a
key role in advancing Securisai's goals by employing a systematic and disciplined method to assess and boost the efficiency of risk
management, governance processes, and strategic decision-making. Roger reported his findings directly to Securisai's top management.
Following the successful rectification of nonconformities, Securisai was officially certified against ISO/IEC 42001.
Recently, the company decided to transfer its ISO/IEC 42001 certification registration from one certification body to another despite being initially bound by a long-term agreement with the current certification body. This decision was motivated by the desire to partner with a certification body that offers deeper insights and expertise in the rapidly evolving field of artificial intelligence in cybersecurity.
To ensure a smooth transition and uphold its certification status, Securisai is diligently compiling the required documentation for submission to the new certification body. This includes a formal request, the most recent audit report underscoring its adherence to ISO/IEC 42001, the latest corrective action plan that highlights its continuous efforts toward improvement, and a copy of its current valid certification registration.
A year following Securisai's initial certification audit, a subsequent audit was carried out by the certification body on its AIMS. The
purpose of this audit was to assess compliance with ISO/IEC 42001 and verify the ongoing improvement of the AIMS. The audit team
concluded that Securisai's AIMS consistently meets the requirements set by ISO/IEC 42001.
Roger followed up on action plans after the external audit at Securisai, but he was directly involved in strategic decision-making processes, potentially affecting his audit objectivity.
Question:
Based on Scenario 9, which principle of internal auditing did Roger violate?
Scenario 9 (continued):
Scenario 9: Securisai, located in Tallinn. Estonia, specializes in the development of automated cybersecurity solutions that utilize AI systems. The company recently implemented an artificial intelligence management system AIMS in accordance with ISO/IEC 42001. In doing so, the company aimed to manage its Al-driven systems’ capabilities to detect and mitigate cyber threats more efficiently and ethically. As part of its commitment to upholding the highest standards of Al use and management, Securisai underwent a certification audit to demonstrate compliance with ISO/IEC 42001.
The audit process comprised two main stages: the initial or stage 1 audit focused on reviewing Securisai's documentation, policies, and procedures related to its AIMS. This review laid the groundwork for the stage 2 audit, which involved a comprehensive, on-site evaluation
of the actual implementation and effectiveness of the AIMS within Securisai's operations. The goal was to observe the AIMS in operation, ensuring that it not only existed on paper but was effectively integrated into the company's daily activities and cybersecurity strategies.
After the audit, Roger, Securisai's internal auditor, addressed the action plans devised to rectify nonconformities identified during the certification audit. He developed a long term strategy, highlighting key AIMS processes for triennial audits. Roger's internal audits play a
key role in advancing Securisai's goals by employing a systematic and disciplined method to assess and boost the efficiency of risk
management, governance processes, and strategic decision-making. Roger reported his findings directly to Securisai's top management.
Following the successful rectification of nonconformities, Securisai was officially certified against ISO/IEC 42001.
Recently, the company decided to transfer its ISO/IEC 42001 certification registration from one certification body to another despite being initially bound by a long-term agreement with the current certification body. This decision was motivated by the desire to partner with a certification body that offers deeper insights and expertise in the rapidly evolving field of artificial intelligence in cybersecurity.
To ensure a smooth transition and uphold its certification status, Securisai is diligently compiling the required documentation for submission to the new certification body. This includes a formal request, the most recent audit report underscoring its adherence to ISO/IEC 42001, the latest corrective action plan that highlights its continuous efforts toward improvement, and a copy of its current valid certification registration.
A year following Securisai's initial certification audit, a subsequent audit was carried out by the certification body on its AIMS. The
purpose of this audit was to assess compliance with ISO/IEC 42001 and verify the ongoing improvement of the AIMS. The audit team
concluded that Securisai's AIMS consistently meets the requirements set by ISO/IEC 42001.
Question:
In the context of Roger’s action plan at Securisai, was the plan he developed a general plan or a detailed plan?
Did the audit team leader appropriately schedule the follow-up after the initial audit? Refer to scenario 9.
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.
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?
Scenario 8:
Scenario 8: InnovateSoft, headquartered in Berlin, Germany, is a software development company known for its innovative solutions and commitment to excellence. It specializes in custom software solutions, development, design, testing, maintenance, and consulting, covering both mobile apps and web development. Recently, the company underwent an audit to evaluate the effectiveness and
compliance of its artificial intelligence management system AIMS against ISO/IEC 42001.
The audit team engaged with the auditee to discuss their findings and observations during the audit's final phases. After evaluating the evidence, the audit team presented their audit findings to InnovateSoft, highlighting the identified nonconformities.
Upon receiving the audit findings, InnovateSoft accepted the conclusions but expressed concerns about some findings inaccurately reflecting the efficiency of their software development processes. In response, the company provided new evidence and additional information to alter the audit conclusions for a couple of minor nonconformities identified. After thorough consideration, the audit team leader clarified that the new evidence did not significantly alter the core conclusions drawn for the nonconformities. Therefore, the certification body issued a certification recommendation conditional upon the filing of corrective action plans without a prior visit.
InnovateSoft accepted the decision of the certification body. The top management of the company also sought suggestions from the audit team on resolving the identified nonconformities. The audit team leader offered solutions to address the issues, fostering a collaborative effort between the auditors and InnovateSoft. During the closing meeting, the audit team covered key topics to enhance transparency. They clarified to InnovateSoft that the audit evidence was based on a sample, acknowledging the inherent uncertainty. The method and time frame of reporting and grading findings were discussed to provide a structured overview of nonconformities. The certification body's process for handling nonconformities, including potential consequences, guided InnovateSoft on corrective actions. The time frame for presenting a plan for correction was
communicated, emphasizing urgency. Insights into the certification body’s post-audit activities were provided, ensuring ongoing support.
Lastly, the audit team briefed InnovateSoft on complaint and appeal handling.
InnovateSoft submitted the action plans for each nonconformity separately, describing only the detected issues and the corrective actions planned to address the detected nonconformities. However, the submission slightly exceeded the specified period of 45 days set by the certification body, arriving three days later. InnovateSoft explained this by attributing the delay to unexpected challenges encountered during the compilation of the action plans.
Question:
Was the audit team leader’s attitude appropriate regarding the new evidence provided by the company?
Scenario 3 (continued):
ArBank is a financial institution located in Brussels, Belgium, which offers a diverse range of banking and investment services to its clients. To ensure the continual improvement of its operations, ArBank has implemented a quality management system QMS based
on ISO 9001 and an artificial intelligence management system AIMS based on the requirements of ISO/IEC 42001.
Audrey, an experienced auditor, led an internal audit focused on the AIMS within ArBank. She assessed the chatbots integrated into the bank's website and mobile app, analyzing communications using big data technology to identify potential noncompliance, fraud, or unethical conduct. Instead of relying solely on the information provided by the chatbots, Audrey sought out evidence that would either confirm or challenge the validity of the data, ensuring her conclusions were based on reliable and accurate information. Her review of selected chatbot interactions confirmed they met their intended purpose.
For the specific context of ArBank's operations, Audrey utilized an Al system to assess the efficiency of the bank's digital infrastructure, focusing on tasks critical to the Finance Department. This Al system was able to analyze the functionality of chatbots integrated into ArBank's website and mobile app to determine if it adheres to ISO/IEC 42001 requirements and internal policies governing customer service in the banking sector.
In addition, Audrey conducted a deeper assessment of the bank’s AIMS. Her evaluation included observing different stages of the AIMS life cycle, from development to deployment, to ensure that roles and responsibilities were clearly defined and aligned with ArBank’s operational goals. She also evaluated the tools used to monitor and measure the performance of the AIMS.
Audrey continued the audit process by auditing ArBank's outsourced operations. Upon checking the contractual agreements between the two parties, Audrey decided that there was no need to gather audit evidence regarding the contractual agreement. She reviewed the company's processes for monitoring the quality of outsourced operations, determined whether appropriate governance processes are in place with regard to the engagement of outsourced persons or organizations, and reviewed and evaluated the company's plans in case of expected or unexpected termination of the outsourcing agreement.
Based on the scenario above, answer the following question:
Question:
Based on Scenario 3, which of the following AI technologies did Audrey employ to assess the efficiency of the bank's digital infrastructure?
Scenario 7:
Scenario 7: ICure, headquartered in Bratislava, is a medical institution known for its use of the latest technologies in medical practices. It has introduced groundbreaking Al-driven diagnostics and treatment planning tools that have fundamentally transformed patient care.
ICure has integrated a robust artificial intelligence management system AIMS to manage its Al systems effectively. This holistic management framework ensures that ICure's Al applications are not only developed but also deployed and maintained to adhere to the
highest industry standards, thereby enhancing efficiency and reliability.
ICure has initiated a comprehensive auditing process to validate its AIMS's effectiveness in alignment with ISO/IEC 42001. The stage 1 audit involved an on-site evaluation by the audit team. The team evaluated the site-specific conditions, interacted with ICure's personnel,
observed the deployed technologies, and reviewed the operations that support the AIMS. Following these observations, the findings were documented and communicated to ICure. setting the stage for subsequent actions.
Unforeseen delays and resource allocation issues introduced a significant gap between the completion of stage 1 and the onset of stage 2 audits. This interval, while unplanned, provided an opportunity for reflection and preparation for upcoming challenges.
After four months, the audit team initiated the stage 2 audit. They evaluated AIMS's compliance with ISO/IEC 42001 requirements, paying special attention to the complexity of processes and their documentation. It was during this phase that a critical observation was made:
ICure had not fully considered the complexity of its processes and their interactions when determining the extent of documented information. Essential processes related to Al model training, validation, and deployment were not documented accurately, hindering effective control and management of these critical activities. This issue was recorded as a minor nonconformity, signaling a need for enhanced control and management of these vital activities.
Simultaneously, the auditor evaluated the appropriateness and effectiveness of the "AIMS Insight Strategy," a procedure developed by
ICure to determine the AIMS internal and external challenges. This examination identified specific areas for improvement, particularly in
the way stakeholder input was integrated into the system. It highlighted how this could significantly enhance the contribution of relevant
parties in strengthening the system's resilience and effectiveness.
The audit team determined the audit findings by taking into consideration the requirements of ICure, the previous audit records and
conclusions, the accuracy, sufficiency, and appropriateness of evidence, the extent to which planned audit activities are realized and
planned results achieved, the sample size, and the categorization of the audit findings. The audit team decided to first record all the
requirements met; then they proceeded to record the nonconformities.
Based on the scenario above, answer the following question:
Question:
Which phase of the Stage 1 audit was NOT conducted by the audit team?
Question:
A multinational technology corporation has initiated an audit process to assess compliance with ISO/IEC 42001. The audit team drafted an audit schedule after the initiation of the audit.
Which aspect of the audit schedule prepared by the audit team is NOT correct?
Which control in Annex A of ISO 42001:2023 focuses on the need for stakeholder engagement in AI system development?
A certification body is conducting surveillance audits for a company that manages multiple sites, including a temporary construction site with a limited duration. The audit team is considering whether the presence of this temporary site should influence the frequency of surveillance audits. Can this factor necessitate an adjustment in the audit schedule?
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.
Scenario 3 (continued):
ArBank is a financial institution located in Brussels, Belgium, which offers a diverse range of banking and investment services to its clients. To ensure the continual improvement of its operations, ArBank has implemented a quality management system QMS based
on ISO 9001 and an artificial intelligence management system AIMS based on the requirements of ISO/IEC 42001.
Audrey, an experienced auditor, led an internal audit focused on the AIMS within ArBank. She assessed the chatbots integrated into the bank's website and mobile app, analyzing communications using big data technology to identify potential noncompliance, fraud, or unethical conduct. Instead of relying solely on the information provided by the chatbots, Audrey sought out evidence that would either confirm or challenge the validity of the data, ensuring her conclusions were based on reliable and accurate information. Her review of selected chatbot interactions confirmed they met their intended purpose.
For the specific context of ArBank's operations, Audrey utilized an Al system to assess the efficiency of the bank's digital infrastructure, focusing on tasks critical to the Finance Department. This Al system was able to analyze the functionality of chatbots integrated into ArBank's website and mobile app to determine if it adheres to ISO/IEC 42001 requirements and internal policies governing customer service in the banking sector.
In addition, Audrey conducted a deeper assessment of the bank’s AIMS. Her evaluation included observing different stages of the AIMS life cycle, from development to deployment, to ensure that roles and responsibilities were clearly defined and aligned with ArBank’s operational goals. She also evaluated the tools used to monitor and measure the performance of the AIMS.
Audrey continued the audit process by auditing ArBank's outsourced operations. Upon checking the contractual agreements between the two parties, Audrey decided that there was no need to gather audit evidence regarding the contractual agreement. She reviewed the company's processes for monitoring the quality of outsourced operations, determined whether appropriate governance processes are in place with regard to the engagement of outsourced persons or organizations, and reviewed and evaluated the company's plans in case of expected or unexpected termination of the outsourcing agreement.
Based on the scenario above, answer the following question:
Question:
Did Audrey conduct the audit process for the outsourced operation correctly? Refer to Scenario 3.
Scenario 1 (continued):
To ensure the integrity of the AI system, Future Horizon Academy has implemented measures to ensure that training data remain isolated from data that could lead to harmful or undesirable outcomes. The institution adds significant data elements as metadata, transforms the data into a format usable by the AI system, and uses data from one or more trusted sources.
Committed to standardization and continual improvement, Future Horizon Academy decided to implement an artificial intelligence management system (AIMS) based on ISO/IEC 42001 that would help the institution increase operational efficiency, resulting in improved processes.
After having the AIMS in place for a year, the institution decided to apply for a certification audit to get certified against ISO/IEC 42001. Prior to the certification audit, the institution conducted an internal audit and management review to ensure that the AIMS aligns with the institution’s own requirements and that the system is being maintained effectively.
Question:
Based on functionality, what type of AI system did Future Horizon Academy establish?
Question:
While auditing a company’s AIMS, the audit team reviewed policies, objectives, and communications to evaluate the involvement of top management. They also conducted interviews with staff to assess the engagement of leaders at various levels in ensuring the system’s effectiveness.
Based on this approach, what level of management should the auditors prioritize when assessing leadership and commitment?
Question:
Can the work assignments of audit team members be changed during the audit?
A software development company is well-known for its innovative practices and collaborative work environment. The CEO, Alex, has fostered a work culture where team input is highly valued in shaping the company’s strategic direction. Alex often organizes brainstorming sessions and workshops, inviting employees from various departments to share their insights and suggestions on new projects, company policies, and workflow improvements. While Alex ensures that every team member feels heard and valued, the final decisions on project directions, key company policies, and strategic initiatives rest with Alex. Which type of leadership does Alex most closely embody?
Based on Scenario 5, which of the following should NOT be Jonathan's responsibility?
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.
TESTED 26 Aug 2025