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ISO/IEC 42001:2023 Artificial Intelligence Management Systems Awareness

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About Course

Build practical awareness of ISO/IEC 42001:2023 through 12 modules and 36 complete text lessons. Learn AIMS governance, risk and impact assessment, the Statement of Applicability, data governance, responsible development and use, supplier management, monitoring, audit and improvement. All nine Annex A control groups are covered through original explanations and fictional examples. Each lesson includes an activity and feedback. Complete a 40-question quiz and a practical bilingual-assistant case with an assessor rubric. Estimated workload: 6.5 hours. Successful completion earns a W3 course completion certificate.

What Will You Learn?

  • LO01: Explain AI, the purpose of an AIMS, ISO/IEC 42001 structure and the PDCA cycle.
  • LO02: Connect organizational context, interested parties, scope, leadership and measurable AI objectives.
  • LO03: Explain AI risk assessment, treatment, residual risk acceptance and the Statement of Applicability.
  • LO04: Assess potential AI impacts on individuals, groups and society using a practical scenario.
  • LO05: Recognize resource, competence, communication and documented-information needs.
  • LO06: Explain data acquisition, quality, provenance and preparation across the AI life cycle.
  • LO07: Connect responsible design, requirements, verification and validation to release evidence.
  • LO08: Explain controlled deployment, monitoring, logging, human oversight and responsible AI use.
  • LO09: Recognize supplier responsibilities, user information, concern reporting and incident response.
  • LO10: Interpret performance data and explain internal audit and management review.
  • LO11: Connect corrective action, continual improvement and Annex A controls to workplace practice.
  • LO12: Prepare an evidence-based case assessment and a role-appropriate workplace action plan.

Course Content

Welcome and AI management foundations
AI terminology, the 2023 edition, management-system purpose, clauses, annexes and PDCA.

  • Start here: your learning journey
  • AI systems, models and responsible use
  • Read the standard: clauses, annexes and PDCA

Context, leadership and objectives
Clauses 4, 5, 6.2 and 6.3 with A.2 and A.3: scope, policy, responsibilities, concerns and planned changes.

AI risks, treatment and applicability
Clauses 6.1.1 to 6.1.3, 8.2 and 8.3: assessment, treatment, control selection and the Statement of Applicability.

AI system impact assessment
Clauses 6.1.4 and 8.4 with A.5: impacts on individuals, groups and society, documentation and reassessment.

People, resources and information
Clause 7 with A.4: resources, competence, awareness, communication and controlled information.

Data governance throughout the life cycle
A.7: suitable data, acquisition, quality, provenance, preparation and documented evidence.

Responsible design and evaluation
A.6.1 and A.6.2.2 to A.6.2.4: objectives, requirements, design, verification and validation.

Deployment, operation and responsible use
Clause 8.1 with A.6.2.5 to A.6.2.8 and A.9: release, monitoring, documentation, logs and human oversight.

Suppliers, users and incident response
A.8 and A.10: allocated responsibilities, suppliers, customers, information, reporting and response.

Evaluate AIMS performance
Clause 9: meaningful measures, internal audits and management review decisions.

Improve and integrate the AIMS
Clause 10, Annexes C and D, implementation sequence, control coverage and terminology.

Assessment and workplace application
Practical case, final quiz preparation, action planning and credible course-completion claims.

Assessment

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