Competency
AI Governance and Risk Management based on ISO/IEC 42001
Explore the foundational elements of AI governance and risk management based on ISO/IEC 42001. This competency covers governance principles, risk assessment, policy development, and compliance monitoring. Learn how to align AI practices with ethical, legal, and organizational goals.
5 Trainers
About
Course Overview:
This competency introduces learners to the foundational principles of AI governance and risk management as outlined in ISO/IEC 42001. The course focuses on AI governance principles, risk assessment methodologies, policy development, compliance monitoring, and aligning AI practices with ethical and legal frameworks. Learners will explore the key considerations for ensuring AI systems are managed responsibly, securely, and in alignment with organizational goals.
What You'll Learn:
- The fundamentals of AI governance and ISO/IEC 42001
- How to identify, assess, and manage risks in AI systems
- Development and implementation of AI governance policies
- Ethical, legal, and organizational considerations for AI
- Stakeholder roles and accountability in AI governance
- Strategies for ongoing AI risk monitoring and compliance
- Key frameworks and metrics for reporting AI governance and compliance
What You'll Get:
- Certificate upon completion
- In-depth knowledge of ISO/IEC 42001 and AI governance principles
- Practical skills in AI risk management and policy development
- An understanding of how to manage AI systems in a compliant and ethical manner
- Experience with governance frameworks, risk assessment, and policy integration
- Tools for ongoing AI risk monitoring and compliance reporting
- Access to resources and templates for real-world AI governance and risk management
Prerequisites:
There are no prerequisites to complete this competency.
Module 1
Introduction to AI Governance Standards
- Overview of ISO/IEC 42001 (14 mins)
- Foundational AI Governance Principles (15 mins)
- Aligning AI with Organizational Goals (15 mins)
- Stakeholders and Roles in AI Governance (14 mins)
Take the Practice Quiz
Module 2
Risk Management for AI Systems
- AI Risk Identification and Classification (13 mins)
- Risk Assessment Methodologies (15 mins)
- Mitigation Strategies and Controls (15 mins)
- Ongoing Risk Monitoring (15 mins)
Take the Practice Quiz
Module 3
Establishing AI Governance Policies
- Policy Development Lifecycle (15 mins)
- Integrating Ethical and Legal Considerations (14 mins)
- Data Governance and Quality Assurance (14 mins)
- Roles and Accountability Structures (15 mins)
Take the Practice Quiz
Module 4
Monitoring and Reporting for AI Compliance
- Compliance Monitoring Frameworks (14 mins)
- Metrics and KPIs for AI Governance (15 mins)
- Reporting Mechanisms and Documentation (13 mins)
- Incident Management and Continuous Improvement (15 mins)
Take the Practice Quiz
Specialization · 4 modules
4 Modules
100% Positive Reviews (24 reviews)
104 Lessons (4h 15m)
3,011 Students
Languages Available: Spanish, English, German, French
Exam
Certificate upon completion of the course
Tags
Artificial Intelligence
ISO/IEC 42001
AI Governance
Risk Management
Policy
AI Systems
AI Compliance
About the Trainer
Adrian Resag
Head of Internal Audit, Risk Management, and Internal Control
Adrian Resag is the Academic Director at OCEG and a global GRC leader with deep expertise in audit, risk, and compliance. He is the founder of the Risk Governance Institute and a creator of internationally recognized certifications in internal audit, information security, and AI governance. Adrian has trained professionals worldwide, including at universities, corporations, and global institutions. He has served as Global Head of Internal Audit, Risk Management, and Internal Control, leading international teams across sectors such as banking, FMCG, energy, and manufacturing. He holds certifications including CIA, CISA, GRCA, CRMA, ISO 27001, ISO 42001, GDPR, and DORA.
