Auditor/Lead Auditor Training on Artificial Intelligence Management System

Auditor/Lead Auditor Training on Artificial Intelligence Management System

Based on ISO/IEC 42001:2023

Based on ISO/IEC 42001:2023

Training Duration: 5 Days

Course Overview

This advanced training is designed for professionals seeking to gain in-depth knowledge and skills in auditing Artificial Intelligence Management Systems (AIMS) based on the ISO/IEC 42001:2023 standard. Participants will explore how AI and ML technology's function, the challenges they present, and how to evaluate the risk management framework that governs their use in organisations.

The course also introduces the ISO/IEC 42006:2024 standard (currently in FDIS stage), which provides guidance for auditing AI management systems. Through hands-on exercises, discussions, and practical scenarios, learners will gain the competence required to conduct AI system audits, ensure responsible use, and assess risk management effectiveness.

What Will You Learn?

  • The foundational concepts of AI and ML, and their relevance in today’s business environment
  • Understanding the ISO/IEC 42001:2023 standard, its structure, and applicability
  • How to apply auditing principles to evaluate AIMS implementation
  • Introduction to ISO/IEC 42006:2024 – auditing AI systems and managing certification processes
  • Techniques to assess transparency, traceability, and reliability in AI systems
  • Ethical considerations and regulatory compliance in AI auditing
  • How to identify risk and opportunity in AI use and improve audit outcomes
  • Efficiency gains and cost-saving opportunities through robust AI governance
  • Case studies that demonstrate real-world audit scenarios and outcomes
  • Course outline
    • Introduction to Artificial Intelligence (AI) and Machine Learning (ML)
    • Data science fundamentals and AI terminologies
    • Disruptive AI, including Generative and Discriminative AI
    • Ethical AI, regulatory compliance, and transparency requirements
    • ISO/IEC 42001:2023 – standard structure, applicability, and benefits
    • Related standards:
      • ISO/IEC 22989:2022 – AI Concepts and Terminology
      • ISO/IEC 23053:2022 – Framework for AI Systems using ML
      • ISO/IEC 23894:2023 – Guidance on AI risk management
    • Introduction to ISO/IEC 42006:2024 – auditing AI systems
    • Auditing principles and conflict of interest
    • Resource and structural requirements for audit bodies
    • Certification process:
      • Application and audit review
      • Audit programme, time, and sampling
      • Combined, surveillance, recertification, and special audits
      • Planning and conducting Stage 1 and Stage 2 audits
      • Audit reporting and making certification decisions
    • Case studies and practical audit exercises

Who Should Attend?

  • Management system auditors
  • Risk managers (ERM or Infosec/AI RM) Executive level stakeholders – CEO, CFO, HR Head, CTO, CIO
  • Business Process Owners, Business Finance Managers, Business Risk Managers Regulatory Compliance Managers, Business Function Managers
  • AI Developers, AI Operators
  • Quality Managers
  • Business Excellence Professionals, Information Security Professionals Consultants
  • AI Service Vendors
  • AI process practitioners
  • AI Project Managers
  • AI architects
  • Information security managers
  • Any AI Stakeholder, in any manner
  • Management System Auditors

Pre-requisites:

  • A valid Lead Auditor certificate for any management system
  • Understanding of data science, data analysis, or information management

Learning & Career Benefits

  • Gain foundational knowledge in AI, ML, and data science
  • Learn how to perform effective audits of AI systems using ISO/IEC 42001
  • Understand how to establish transparency, traceability, and governance in AI
  • Support responsible AI adoption while enhancing efficiency and reducing risk
  • Build your credentials for future-focused roles in AI compliance and audit

Get in touch with us to know more.
 
Business address

TÜV SÜD Bangladesh (Pvt.) Ltd.

Update Tower, Level- 12, 8 & 14, 01 Shahjalal Avenue, Sector-06, Uttara Model Town, Dhaka-1230, Bangladesh

Tel: +88 02 58954115, 58954120, Ext-119

Email: [email protected]

ISO/IEC 42001:2023 AIMS Lead Auditing

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