Management of Artificial Intelligence Objectives and Risks
Description: After completing the course, participants will be able to demonstrate the following competences:
- Define and document measurable and context-specific AI objectives.
- Identify and assess AI-specific risks based on ISO/IEC 23894 methodology.
- Select and apply appropriate risk treatment measures.
- Align AI objectives and risk decisions with organizational strategy.
- Support continual improvement of the AI management system through risk-based thinking.
Previous skills/knowledge: Participants are expected to have the following basic knowledge:
- Basic understanding of artificial intelligence systems and applications.
- Familiarity with general risk management concepts and terminology.
- Awareness of the role of strategic objectives in governance systems.
Authorized Partners:
Teaching requirements: Trainers should meet the following requirements:
- Subject Matter Expertise: in-depth knowledge of AI governance, ISO/IEC 42001 and ISO/IEC 23894 risk management, and integration with organizational goals.
- Certifications: recommended credentials include ISO/IEC 27005, ISO/IEC 42001, or ISO 31000-related qualifications, particularly in AI or digital technologies.
- Training & Practical Experience: at least 2–3 years of experience in defining risk criteria, conducting AI-specific risk assessments, and aligning objectives with regulatory and business needs.
Objectives to achieve: The course aims to achieve the following objectives:
- Understand how to define objectives for trustworthy and responsible AI in line with ISO/IEC 42001 and ISO/IEC 23894.
- Gain knowledge of AI-specific risk factors and how to assess them using appropriate methodologies.
- Learn how to set, document, and monitor AI objectives in compliance with legal, ethical, and technical expectations.
- Develop skills to perform risk assessments and define risk treatment strategies for AI systems.
- Support the integration of objectives and risks into the AI management system and broader organizational planning.
