This lesson develops practical capability in Performance Evaluation, Internal Audit, Review, and Improvement within ISO/IEC 42001 Lead Implementer Training. Activities reflect an enterprise governing internal, supplier, predictive, and generative AI systems, so requirements, decisions, evidence, findings, and improvement actions remain connected.
The lesson supports the wider objective to implement and improve an ISO/IEC 42001 artificial intelligence management system.
The instructor demonstrates the performance evaluation, internal audit, review, and improvement workflow, identifies applicable inputs and responsibilities, records checkpoints in AIMS assurance and improvement report, and contrasts the accepted state with a condition where management accepts metrics unrelated to AI outcomes.
Complete a controlled implementation, audit, analysis, or foundation exercise for Performance Evaluation, Internal Audit, Review, and Improvement. Establish scope and criteria, collect or create evidence, examine “management accepts metrics unrelated to AI outcomes,” reach a supported conclusion, and preserve the result in AIMS assurance and improvement report.
Separate missing evidence from ineffective practice, and distinguish a documentation issue from a control, process, governance, or competence failure. Use AIMS assurance and improvement report to trace the earliest divergence. Treat “management accepts metrics unrelated to AI outcomes” as a hypothesis until the response is validated against the relevant requirement and intended outcome.
Learners can apply Performance Evaluation, Internal Audit, Review, and Improvement, explain the reasoning, and defend the result through AIMS assurance and improvement report.