ISO 42001 Lead Auditor study plan

Define AI system, machine learning, model, training data, and inference in your own words and distinguish AI from conventional software

Explain how an AI management system differs from an IT service management system and why AI-specific controls are needed

Map the ISO/IEC 42001 clause structure (4-10) to the Plan-Do-Check-Act cycle and to the harmonized structure shared with other management system standards

Describe the trustworthiness characteristics of AI systems (robustness, transparency, accountability, fairness, privacy, reliability, safety) and give one audit-relevant example of each

Differentiate AI risk assessment from AI impact assessment in terms of purpose, inputs, and outputs

Interpret the requirements of clauses 4, 5, 6, and 7 and identify the documented information each clause mandates

Trace how organizational context and interested-party needs feed into the scope of the AI management system

Explain the AI risk assessment and AI impact assessment processes, including when they must be repeated

Distinguish AI policy, AI objectives, and operational controls in terms of who owns them and how they are evidenced

Convert each requirement in clauses 4-7 into at least one objective audit question

Interpret clauses 8, 9, and 10 covering operational planning, monitoring and measurement, internal audit, management review, and continual improvement

Categorize Annex A controls across their objective areas (policy, roles, impact assessment, lifecycle, data, information for interested parties, use, third parties, and incidents)

Evaluate a Statement of Applicability for completeness, justification of inclusions and exclusions, and traceability to risk treatment

Identify which Annex A controls map to which clause requirements and where evidence typically resides

Detect common implementation gaps such as undocumented impact assessments or untreated residual risk

State the audit principles (integrity, fair presentation, due professional care, confidentiality, independence, evidence-based approach, risk-based approach) and apply each to a described scenario

Distinguish first-party, second-party, and third-party audits and the certification, surveillance, and recertification cycle

Explain audit criteria, audit scope, audit evidence, and audit findings and how they relate causally

Select sampling approaches and justify sample size when population risk varies

Assess auditor competence and impartiality threats, including consultancy conflicts and self-review risk

Distinguish an audit programme from an audit plan and identify what belongs in each

Define scope, criteria, objectives, and boundaries for a stage 1 and stage 2 ISO/IEC 42001 audit of a defined organization

Perform a documentation review of AI policy, risk assessment records, and the Statement of Applicability and record gaps

Build a risk-based sampling plan that prioritizes high-impact AI use cases and third-party dependencies

Draft an audit plan with schedule, roles, interviewees, and logistical arrangements

Plan and lead an opening meeting that confirms scope, criteria, method, and escalation paths

Conduct structured interviews and collect evidence that is sufficient, relevant, and verifiable

Trace an audit trail from policy through risk assessment to control operation and to recorded evidence

Write nonconformities that state the requirement, the objective evidence, and the gap without prescribing the fix

Handle challenging situations such as missing records, defensive interviewees, and scope disputes

Prepare and deliver a closing meeting that presents findings, offers no surprises, and agrees corrective action timelines

Structure an audit report with conclusions, findings, and a recommendation on certification readiness

Evaluate corrective action submissions for root cause depth, containment, and effectiveness verification

Design an audit programme covering frequency, resourcing, competence development, and performance monitoring

Identify risks to the audit programme itself and define indicators for programme effectiveness

Synthesize all seven domains into a single end-to-end audit workflow from programme design to certification follow-up

Re-audit your weakest three topic areas and close each identified gap with a written correction

Complete a timed full-length mock examination under exam conditions

Explain orally, without notes, the difference between AI risk and AI impact and how each is audited

Finalize a personal pre-exam checklist covering documents, clause references, and time allocation strategy