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
Course Objectives:
Understand the structure, purpose, and scope of ISO/IEC 42001.
Learn how to implement, manage, and improve an Artificial Intelligence Management System (AIMS).
Gain practical insights into risk, ethics, transparency, and lifecycle management for AI.
Prepare for ISO 42001 audits or certification.
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ISO/IEC 42001:2023 – Implementing an Artificial Intelligence Management System (AIMS)