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Lead Implementer Training Program on Artificial Intelligence Management System (AIMS)

Based on ISO/IEC 42001:2023

Based on ISO/IEC 42001:2023

Training Duration: 4 Days

Course Overview

This training provides a comprehensive introduction to Artificial Intelligence (AI) and Machine Learning (ML), exploring their current and potential impact on individuals and organisations. Participants will learn why a systematic approach to AI governance is essential and how to address key considerations when integrating AI into business operations.

The course focuses on ISO/IEC 42001:2023 (the world’s first AI management system standard) designed to support organisations that provide or use AI-based products or services. This standard outlines the requirements for establishing, implementing, maintaining, and continuously improving an Artificial Intelligence Management System (AIMS), ensuring responsible, transparent, and effective AI practices.

Participants will gain practical knowledge on implementing ISO/IEC 42001, managing AI-related risks, and aligning AI initiatives with organisational goals and compliance requirements.

What Will You Learn?

  • Introduction to AI and ML and their influence on modern business and daily life
  • Importance of a structured, standardised approach to AI use in organisations
  • Key considerations and responsibilities when deploying AI systems
  • Core concepts of ISO/IEC 42001:2023 and its relevance to AI governance
  • How to develop, implement, and manage an AIMS based on ISO/IEC 42001
  • How to apply a risk-based approach to AI and manage related risks effectively
  • Insight into complementary standards: ISO/IEC 22989, 23053, and 23894
  • Understanding transparency, traceability, and accountability in AI
  • Real-world examples and case studies to illustrate practical application
  • Course outline

    Topics to be covered in this course include:

    • Introduction to Artificial Intelligence (AI)
    • Introduction to Machine Learning (ML)
    • The concept of data science
    • AI concepts and terminologies
      • Generative AI
      • Discriminative AI
    • Understand how AI becomes disruptive
    • AI considerations
    • Regulatory stipulations
    • Transparency needs
    • Introduction to ISO/IEC 42001:2023 standard Applicability of the standard
    • Relationship between Information Security, Data Privacy and AI
    • Benefits
    • Responsible use of AI
    • Efficiency factors
    • Risk-based approach
    • Traceability, transparency, and reliability
    • Clauses and requirements
    • ISO/IEC 22989:2022 standard – key terms explanation
    • ISO/IEC 23053:2022 standard
    • Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
    • ISO/IEC 23894:2023 standard
    • Artificial intelligence - Guidance on risk management
    • ISO/IEC 42001:2023 Implementation steps
    • Case studies and exercises

Who Should Attend?

  • AI Developers, AI Operators
  • Business Function Managers
  • Quality Managers
  • Business Excellence Professionals
  • Information Security Professionals
  • Consultants
  • AI Service Vendors
  • Any AI Stakeholder, in any manner
  • Management System Auditors

Pre-requisites: A basic understanding of data science and information management concepts will be beneficial.

Examination & Certification

  • Examination:
    • Mode: Online
    • 50 Multiple Choice Questions
    • 5 Scenario-Based Questions
    • Total Marks: 70 (45 x 1 mark + 5 x 5 marks)
    • Passing Score: 70% (49 marks)
  • Notes:
    • Course materials and notes may be used during the exam.
    • Access to an unmarked copy of ISO/IEC 42001:2023 is required during the exam.
  • Certification Criteria:
    • Certificate of Successful Completion: Awarded upon achieving 70% (49 marks) in the online exam.
    • Certificate of Attendance: Provided if attendance requirements are met, regardless of exam outcome.

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]

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