- ISO 42001 Artificial Intelligence Management System
ISO/IEC 42001 Artificial Intelligence Management System (AIMS) Training
Don't Just Use Artificial Intelligence — Govern It.
Artificial Intelligence is transforming the way organizations innovate, make decisions, and deliver value. However, alongside its benefits come new risks, ethical considerations, regulatory requirements, and governance challenges.
Organizations today are expected not only to develop successful AI solutions but also to ensure that AI systems are trustworthy, transparent, accountable, secure, and aligned with business objectives.
ISO/IEC 42001 is the world's first international management system standard for Artificial Intelligence Management Systems (AIMS). It provides a structured framework for governing AI systems throughout their lifecycle using a risk-based approach.
This training goes beyond explaining the requirements of the standard. It provides a practical AI Governance perspective through real-world examples, case studies, interactive discussions, and governance tools that participants can immediately apply within their organizations.
Training Objectives
By the end of this course, participants will be able to:
- Understand the structure and requirements of ISO/IEC 42001
- Understand the principles of AI Governance
- Establish an Artificial Intelligence Management System (AIMS)
- Manage the AI system lifecycle
- Identify, assess, and mitigate AI-related risks
- Apply the principles of transparency, accountability, fairness, and human oversight
- Prepare their organization for AI governance implementation and continual improvement
Who Should Attend?
This program is designed for:
- Executives and senior managers
- Digital transformation leaders
- AI and data professionals
- Project and program managers
- IT managers
- Risk and compliance professionals
- Information security specialists
- Quality and management system professionals
- Internal auditors
- AI project teams
- Consultants specializing in AI Governance
Duration
2 Days (12 Hours)
Available as instructor-led classroom or live online training.
Learning Outcomes
After completing this course, participants will be able to:
- Interpret the requirements of ISO/IEC 42001
- Design an effective AI Governance framework
- Evaluate AI use cases from business, technical, and ethical perspectives
- Analyze the technical and social context of AI systems
- Identify, prioritize, and manage AI risks
- Govern AI systems throughout their lifecycle
- Define appropriate AI performance indicators
- Develop AI policies, procedures, and governance documentation
- Prepare for ISO/IEC 42001 implementation and certification
Key Benefits
Participants will gain practical knowledge and tools to establish an effective AI Governance framework that aligns with international best practices and supports trustworthy, responsible, and sustainable AI adoption.
Course Outline
1. Introduction to AI Governance
- Why AI Governance matters
- AI system lifecycle
- Global AI regulations and standards
- Overview of ISO/IEC 42001
2. Understanding ISO/IEC 42001
- Structure of the standard
- Core concepts
- Terms and definitions
- Management system approach
3. Organizational Context
- Internal and external context analysis
- Stakeholder analysis
- AI use cases
- Defining the scope of AIMS
4. Leadership and AI Governance
- Leadership responsibilities
- AI policy
- Governance structure
- Accountability
- Ethical principles
5. Planning
- AI risk management
- Risk assessment methodologies
- AI Impact Assessment
- Opportunities for improvement
6. Support Processes
- Competence and awareness
- Documentation and documented information
- Communication
- Data governance
7. Operation
- AI system lifecycle management
- AI data management
- Human oversight
- Third-party and supplier AI management
- AI model development, verification, validation, deployment, and monitoring
- Testing, Evaluation, Verification and Validation (TEVV)
8. Performance Evaluation
- AI performance measurement
- Monitoring and metrics
- Internal audit
- Management review
9. Improvement
- Nonconformity and corrective actions
- Continual improvement
- AI Governance maturity assessment
10. Practical Workshops
- Real-world AI Governance case studies
- AI Risk Assessment workshop
- AI Governance Toolkit
- AI Impact Assessment
- Preparing for ISO/IEC 42001 certification
Training Methodology
The course combines:
- Interactive presentations
- Real-world case studies
- Practical workshops
- Group discussions
- AI Governance tools and templates
- Risk assessment exercises
- Contact
Our expertise in our relationships and in our training is our ilk. If you get in touch with us, we can decide together how we can help you and how we can contribute. You can contact us for your immediate needs or your long-term goals.
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Ankara / TURKEY