The audit should be led by a competent auditor, supported by AI specialists when needed to evaluate technical context and risks.
ISO/IEC 42001 auditing is an audit discipline first: planning, sampling, interviewing, evidence evaluation, and impartial conclusions. A lead auditor ensures the audit follows best practices and delivers defensible findings aligned with audit criteria.
AI specialists can be essential contributors when the audit scope includes complex model design, data pipelines, or AI operations that require technical interpretation. The strongest approach is often a lead auditor who manages the audit process, supported by subject-matter expertise to validate technical realities without losing audit independence.
When AI specialists lead without audit structure, findings become subjective. When auditors lead without technical support, evidence can be misunderstood. Balance is key.
“Lead with audit competence; support with AI expertise.”
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You scope an AIMS by defining organizational context and boundaries, then setting the AIMS scope so policies, risks, controls, and operations match what is in-scope.
A Statement of Applicability documents which controls are selected for the AIMS and why they apply, creating traceability between risks, requirements, and controls.
The course frames audit planning and execution in line with ISO 19011 and the ISO/IEC 17021-1 certification process, while auditing an EnMS against ISO 50001:2018 requirements.
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