Certbie
Question 1 of 30
A certification body accredited under ISO 42006:2024 is auditing an organization that heavily relies on generative adversarial networks (GANs) for its core AI-driven product development. The lead auditor, while generally competent in AI management systems, has limited practical experience with the specific nuances and potential risks associated with GANs, such as data poisoning attacks or model collapse. Considering the requirements for personnel competence outlined in the standard, what is the most appropriate course of action for the certification body to ensure the audit is conducted effectively and in compliance with the standard?
Mandate specific training and assessment for the lead auditor on generative adversarial networks to ensure their continued competence in auditing AI systems that utilize this technology.
Assign a different auditor to the engagement who has prior extensive experience with generative adversarial networks, without further development for the original lead auditor.
Rely on the auditee organization to provide necessary technical explanations regarding their GAN implementation during the audit, assuming the auditor's general AI knowledge is sufficient.
Update the certification body's general AI competence framework to include a broader category for "advanced generative models" without specific focus on GANs, and assume the auditor's existing knowledge will suffice.

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