This lesson develops practical capability in AIMS Requirements, Audit Programme, Scope, and Criteria within ISO/IEC 42001 Lead Auditor Training. Activities reflect an organization operating predictive and generative AI with data suppliers, model providers, and affected stakeholders, so requirements, decisions, evidence, findings, and improvement actions remain connected.
The lesson supports the wider objective to audit ISO/IEC 42001 artificial intelligence management systems.
The instructor demonstrates the aims requirements, audit programme, scope, and criteria workflow, identifies applicable inputs and responsibilities, records checkpoints in AIMS audit programme and plan, and contrasts the accepted state with a condition where the AI inventory omits embedded models.
Complete a controlled implementation, audit, analysis, or foundation exercise for AIMS Requirements, Audit Programme, Scope, and Criteria. Establish scope and criteria, collect or create evidence, examine “the AI inventory omits embedded models,” reach a supported conclusion, and preserve the result in AIMS audit programme and plan.
Separate missing evidence from ineffective practice, and distinguish a documentation issue from a control, process, governance, or competence failure. Use AIMS audit programme and plan to trace the earliest divergence. Treat “the AI inventory omits embedded models” as a hypothesis until the response is validated against the relevant requirement and intended outcome.
Learners can apply AIMS Requirements, Audit Programme, Scope, and Criteria, explain the reasoning, and defend the result through AIMS audit programme and plan.