ISO/IEC 42001:2023 – Implementing an Artificial Intelligence Management System (AIMS)

ISO/IEC 42001:2023 – Implementing an Artificial Intelligence Management System (AIMS)As artificial intelligence rapidly transforms industries, the need for structured, ethical, and auditable AI management systems has never been greater. ISO/IEC 42001:2023 is the world’s first international standard for implementing an Artificial Intelligence Management System (AIMS), offering a comprehensive framework for AI governance, risk, ethics, and operational control.

This 5-day training course provides participants with the tools and knowledge to implement ISO/IEC 42001 effectively within their organizations—bridging AI innovation with responsible oversight.

Who Should Attend? 

AI project managers, compliance officers, IT auditors, data scientists, risk managers, system architects, legal/ethics officers, and quality professionals.

Course Agenda:

Day 1: Introduction to ISO/IEC 42001 & Context of the Organization

  • Overview of ISO/IEC 42001 and AI governance
  • Structure of the ISO/IEC 42001 standard
  • Scope, terms, and definitions
  • Understanding the context of the organization
  • Stakeholder analysis and interested parties
  • Homework: Identify AI systems in your organization & their stakeholders

Activities

  • Lecture + Discussion
  • Standards walkthrough
  • Interactive glossary quiz
  • Case study: organizational analysis
  • Group activity
  • Worksheet

Day 2: Leadership, Planning & AI Ethics

  • Leadership and top management roles
  • AI ethical principles (transparency, fairness, accountability)
  • Risk-based thinking and AI risk assessment
  • Planning the AIMS: objectives, KPIs, risk responses
  • Integrating AI ethics into policies

Activities

  • Role-playing scenario
  • Lecture + Group debate
  • Risk matrix workshop
  • Strategic planning exercise
  • Ethics policy drafting

Day 3: Support, Resources & Operational Controls

  • Resources, competence, and awareness
  • Communication and documented information
  • AI lifecycle and control measures
  • Operational planning and control of AI systems
  • Homework: Draft an AI operations policy using ISO clauses

Activities

  • Role-matching exercise
  • Policy documentation examples
  • Workflow modelling
  • Process mapping simulation
  • Individual assignment

Day 4: Performance Evaluation, Monitoring & Nonconformities

  • Monitoring, measurement, and analysis in AI systems
  • AI system audits and evaluations
  • Nonconformities, corrective actions, and improvement
  • Using metrics for continuous improvement

Activities

  • Metrics case study
  • Internal audit simulation
  • Problem-solving workshop
  • Dashboard design
  • Mock audit walkthrough
  • Group simulation

Day 5: Certification, Implementation Strategies & Final Assessment

  • ISO 42001 certification process
  • Building an implementation roadmap
  • AI governance frameworks and regulations alignment (e.g., EU AI Act)
  • Final exam / knowledge check
  • Q&A, feedback, and course wrap-up

Activities

  • Timeline planning session
  • Roadmap group project
  • Comparative analysis
  • 30-question assessment
  • Reflection and feedback form

ISO/IEC 42001:2023 – Implementing an Artificial Intelligence Management System (AIMS)

Language : English

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