Auditor/Lead Auditor Training on Artificial Intelligence Management System (AIMS) based on ISO/IEC 42001:2023

• 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 ComplianceManagers, 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

• What is Artificial Intelligence (AI)?
• What is Machine Learning (ML)?
• The concept of data science
• AI concepts and terminologies
• How AI becomes disruptive, Gen AI and discriminative AI Regulatory stipulations, transparency needs
• Ethical use of AI
• What is the ISO/IEC 42001:2023 standard?
• Applicability of the standard
  • Benefits
  • Responsible use of AI Efficiency factors
  • Risk-based approach traceability, transparency and reliability
  • Clauses and requirements
• ISO 22989:2022 standard
• 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
• Case studies and exercises
• Introduction to ISO/IEC 42006:2024 (Currently in DIS stage)
• Auditing principles
• Conflict of interest
• Structural requirements
• Resource requirements for conducting AI audits
  • For application review
  • For audit report review
  • For making certification decisions
  • For making decisions on appeals
• Information requirements
  • AIMS certification documents
• Process requirements
  • Audit programme
  • Audit methodology
  • Audit time
  • Sampling
  • Combined audit
• Audit planning
  • Audit objectives
  • Audit criteria
  • Audit plan for AIMS
• Initial certification
  • Stage 1 audit
  • Stage 2 audit
• Conducting audits
  • Specific elements of AIMS audits
  • Audit reporting
• Certification maintenance
• Surveillance audits
• Recertification audits
• Special audits

In this intensive course, participants will develop the competence to master a model for auditing artificial intelligence risk management processes throughout their organization using the ISO/IEC 42006:2024 standard (in FDIS currently) as a reference framework. Based on practical exercises and discussions, participants acquire the necessary knowledge on the practical application of the standard and learn how to meet the requirements specified in the standard. The delegates will develop skills to audit an AIMS based onISO/IEC 42006 (currently in DIS stage) standard.

• Get introduced to the basics of AI and ML
• Enable cost savings and efficiency gains
• Review how to establish traceability, transparency and reliability
• Understand the various aspects involved in AIMS audits
• Learn how to perform effective audits to ensure a robust AIMS

Instructor-led in a virtual classroom.

• MCQs - 50 Questions
• Duration: 90 Minutes
• Exam mode: Online

• Any Management System LA certificate
• Understanding of data analysis, data science concepts

When can I get the certificate?
ISO/IEC 42001:2023 AIMS Lead Auditor Training certification will be issued within 21 working days from theexamination date.

When can I get the training material and invite?
One day before the commencement of the training program.

How do I pay the fees for training and examination?
Online mode

What are the benefits of the ISO/IEC 42001:2023 AIMS Lead Auditor Training Program?
Get introduced to the basics of AI and ML
Enable cost savings and efficiency gains
Review how to establish traceability, transparency and reliability
Understand the various aspects involved in AIMS audits
Learn how to perform effective audits to ensure a robust AIMS