AI135: AI Auditor according to ISO/IEC 42001, VDE SPEC 92006, TÜV AI.AM

Agenda:

Module 1: Fundamentals and legal framework

• Introduction to AI systems
  • Types of AI systems and their applications
  • Basic AI architecture and functionality
  • Current developments and trends

• Legal foundations
  • EU AI Act and its implications
    • Risk classification according to EU AI Act
    • What are conformity assessments
    • Conformity assessment procedures for different levels
    • Definition explanation minimal risk vs. no risk
    • Requirements for conformity assessment bodies
    • Documentation requirements and technical documentation
    • Declaration of conformity and CE marking
    • Identification and assessment of AI-specific risks
    • Active and passive risk management
  • International regulations and standards
    • AI management systems according to ISO/IEC 42001
      • Structure and requirements of ISO 42001
      • Integration into existing management systems
      • Process landscape and documentation pyramid
      • Roles and responsibilities
  • Data Protection Requirements (GDPR)

Module 2: Technical aspects and testing methods

• Ethical evaluation of AI systems
  • Relevance of ethical evaluations
  • Conceptual overview
• Technical evaluation of AI systems
  • Assessment of training data and data pipelines
  • Model validation and performance metrics
  • Bias detection and evaluation
• Security and robustness
  • Cybersecurity for AI systems
  • Adversarial attacks and defense strategies
  • System stability and fault tolerance
• Quality assurance and audit fundamentals
  • Continuous monitoring
  • Principles and methods of AI audits
  • Audit trail and traceability

Module 3: Testing procedures for AI systems – Theory & Practice

• VDE SPEC 92006
• TÜV AI.AM

Certification examination

Objectives:

• Gain an understanding of the fundamentals and operation of AI systems.
• Obtain an overview of the legal framework, particularly the EU AI Act and its risk classification.
• Acquire knowledge of the requirements for conformity assessments and documentation for AI systems.
• Develop the ability to analyze technical aspects of AI systems such as model validation, bias detection, and performance evaluation.
• Gain insight into testing methods and specific procedures like the VDE SPEC 92006 and TÜV AI.Lab Assessment Matrix.
• Develop the ability to apply ethical, security, and regulatory requirements to own AI systems.
• Acquire practical knowledge for conducting audits and quality assurance measures.

Additionally, the course provides a solid foundation for further courses, such as:

• AI100 AI Officer
• AI060 AI GRC Specialist

Target audience:

• AI Auditors
• Compliance Officers
• Responsible for the Implementation and Execution of ISO/IEC 42001:2023
• AI Officers
• AI Consultants

Prerequisites:

• Prior attendance of the AI120 AIMS Implementation according to ISO/IEC 42001:2023 or experience with management systems as well as prior basic engagement with ISO/IEC 42001:2023
• Prior attendance of the SC135 Internal Auditor or comparable audit knowledge

Description: