Summary
The ISO 42001 AIMS implementer training, enhanced with a dedicated module on ISO/IEC 42005 AI Impact Assessment, is an intensive program designed for professionals responsible for adopting and operationalizing AI Management Systems in their organizations.
The training program provides comprehensive knowledge and practical tools to implement ISO 42001:2023, covering governance, ethical AI principles, risk management, operational controls, audit readiness, and continual improvement.
A specialized module on ISO/IEC 42005 equips training participants to perform structured AI Impact Assessments, enabling them to identify and mitigate potential ethical, societal, and safety impacts of AI systems.
Objectives
- Understand the ISO/IEC 42001:2023 Standard
- Design and implement an AI Management System (AIMS)
- Apply AI Governance and Risk Management Principles
- Conduct AI Impact Assessments using ISO/IEC 42005
- Develop and Manage AIMS Documentation
- Prepare for and Conduct Internal Audits
- Demonstrate Certification Readiness
- Integrate AIMS with Broader Business Systems
Key Training Takeaways
- Clear understanding of the ISO/IEC 42001:2023 structure, purpose, and implementation roadmap for an AI Management System (AIMS).
- Ability to define the scope, objectives, and policies of AIMS tailored to your organizational context.
- Skills to identify, assess, and treat AI-specific risks, including bias, discrimination, privacy, and explainability.
- Proficiency in mapping and implementing Annex A controls aligned to AI lifecycle governance.
- Deep insight into conducting AI Impact Assessments (AIIA) using ISO/IEC 42005, including social, ethical, and human rights dimensions.
- Knowledge to develop and maintain AIMS documentation, including procedures, SoA, records, and templates.
- Practical tools for resource planning, training, and stakeholder engagement within an AI governance framework.
- Readiness to lead ISO 42001 certification initiatives, including Stage 1 & 2 audit preparation.
- Awareness of how to integrate AIMS with existing systems (e.g., ISO 27001, 9001, ESG, digital transformation).
Who should attend?
- AI Management & Governance Leaders
- Compliance, Risk & Ethics Professionals
- Information Security & IT Governance Professionals
- Data & AI Product Teams
- Audit & Assurance Professionals
- Legal, Policy, and Digital Transformation Teams
- Anyone Tasked with ISO 42001 Implementation
Training Handouts
- Training program handouts
- Sample policies
- Sample templates & checklist
Prerequisites (Optional but Beneficial)
- Basic understanding of AI systems and data lifecycle
- Familiarity with ISO management system standards (e.g., ISO 27001, ISO 9001, ISO 37301)
- Experience in compliance, risk management, or technology governance
Syllabus
Module 1: Introduction to AIMS & ISO 42001 Fundamentals
- ISO 42001 structure, purpose, AI lifecycle, key terms
- AI ethics, governance, and accountability principles
- Context of AIMS in digital and regulatory ecosystems
Module 2: Initiating AIMS Implementation
- Understanding organizational context and stakeholder expectations
- Gap assessment, preliminary risk analysis
- Project charter, leadership commitment, roles and responsibilities
Module 3: Planning – Scope, Policies, Objectives & Risk Management
- Scope definition, AIMS policy, alignment with strategic goals
- SoA creation, AI-specific risk assessment methods
- Bias, transparency, explainability, and fairness controls
Module 4: AI Impact Assessment using ISO/IEC 42005
- AIIA process overview: scoping, stakeholder impact, risk criteria
- Integrating AIIA into the AIMS risk lifecycle
- Real-world AIIA case walkthrough
Module 5: Documented Information, Competence & Communication
- Documentation structure, policies, procedures, and templates
- Communication plans, competence assessment, awareness strategy
- Internal vs. external documentation
Module 6: AIMS Operation & Control Implementation
- Operational planning and lifecycle activities
- Data management, third-party AI providers, supply chain considerations
- Technology controls and monitoring mechanisms
Module 7: Monitoring, KPIs & Internal Audits
- KPI development for AI governance
- Monitoring compliance, metrics review
- Planning and conducting internal AIMS audits
Module 8: Management Review, NCs & Continual Improvement
- Management review inputs/outputs
- Handling nonconformities and corrective actions
- Continuous improvement methods
Module 9: Certification Audit Preparation
- ISO 42001 certification phases (Stage 1 & 2 audits)
- Audit readiness checklist and mock exam
- Integration with ISO 27001, 9001, ESG, or digital strategy
