🎯 Training Objective
This training aims to equip participants with competency in auditing artificial intelligence systems in accordance with the ISO/IEC 42001 standard. Topics such as audit planning, execution, nonconformity analysis, and reporting are delivered through practical, hands-on approaches.
📚 Training Content
- Control structure of ISO/IEC 42001 and the audit perspective
- Internal audit principles in accordance with ISO 19011
- Auditing of AI system lifecycle processes
- Controls related to ethics, security, bias, and transparency
- Audit planning, checklist preparation, and document review
- Identification of nonconformities, root cause analysis, and corrective action initiation
- Reporting examples and contribution to management review processes
👥 Who Should Attend?
- Internal audit teams
- AI governance and information security specialists
- Quality and risk managers
- System owners
📌 Training Duration and Format
- Duration: 2 days (12 hours)
- Format: In-person/online training supported by hands-on case studies and group work
✅ Key Achievements
- Ability to conduct internal audits in accordance with ISO/IEC 42001
- Competence in identifying, reporting, and preventing nonconformities
- Improvement of internal AI systems through audit-driven evaluation