ISO 42001 Artificial Intelligence Lead Auditor

Plan and conduct audits of AI management, evaluate evidence and follow up findings on AI governance, risk controls and accountable oversight.

Work through AI governance, risk controls and accountable oversight and connect them to the responsibilities of your audit or assessment role. The detailed programme explains the methods and activities covered.

1. Understand the principles and requirements of ISO 42001:2023.
2. Apply ISO 19011:2018 principles for auditing management systems.
3. Integrate ISO 17011:2017 requirements for conformity assessment bodies.
4. Plan, conduct, report, and follow up on Artificial Intelligence audits effectively.
5. Utilize risk management principles in the context of Artificial Intelligence processes.
6. Demonstrate proficiency in communicating audit findings and recommendations.
7. Contribute to continual improvement within Artificial Intelligence management systems.

• ISO/IEC 42001 Lead Auditor

• Artificial Intelligence Professionals
• Internal Auditors
• Compliance Officers
• Security Managers
• Risk Management Professionals
• IT Managers

• ISO 19011:2018 - Guidelines for Auditing Management Systems
• ISO 17011:2017 - Conformity Assessment - Requirements for Bodies Providing Audit and Certification of Management Systems

1. Introduction to ISO 42001:2023 and Artificial Intelligence Management
   • Overview of Artificial Intelligence Management
   • Key Principles and Requirements of ISO 42001:2023
2. ISO 19011:2018 Principles for Auditing Management Systems
   • Audit Planning and Preparation
   • Audit Execution Techniques
   • Roles and Responsibilities of a Lead Auditor
3. ISO 17011:2017 Application for Conformity Assessment Bodies
   • Requirements for Audit and Certification Bodies
   • Competence and Impartiality in Auditing
4. Audit Criteria, Scope, and Objectives
   • Establishing Audit Criteria and Scope
   • Setting Audit Objectives
5. Risk-Based Auditing in Artificial Intelligence
   • Identifying and Assessing Risks in Artificial Intelligence
   • Incorporating Risk Management into Audit Planning
6. Conducting Artificial Intelligence Audits
   • Interviewing Techniques
   • Document Review and Analysis
   • Observation and Sampling
7. Reporting and Communicating Audit Findings
   • Conducting Opening and Closing Meetings
   • Reporting Audit Findings Effectively
   • Communication Skills for Auditors
8. Follow-Up, Corrective Action, and Continual Improvement
   • Monitoring Corrective Action Implementation
   • Reviewing Lessons Learned for Continual Improvement
9. Practical Exercises and Case Studies
   • Applying ISO 19011:2018 and ISO 17011:2017 principles in simulated audit scenarios
   • Analyzing real-life Artificial Intelligence audit cases

• Self-Study Material, Exam and Certification 
• Online Training, Material, Exam and Certification 
• Classroom Training Location: https://cognicert.com/delivery-partners/