ISO/IEC 42001 Lead Implementer- Training Course

ISO/IEC 42001 Lead Auditor training course enables you to gain the necessary expertise to audit artificial intelligence management systems (AIMS) by applying widely recognized audit principles, procedures, and techniques.

Why Should You Attend?

Artificial intelligence (AI) has become integral to the success of many organizations by enhancing efficiency through automation and improving decision-making by utilizing advanced data analytics. However, organizations should ensure the appropriate and ethical use of AI. ISO/IEC 42001 enables organizations to implement appropriate processes and controls to ensure the responsible use and management of AI system.

As the number of organizations seeking ISO/IEC 42001 compliance increases, there is a simultaneous surge in demand for skilled auditors possessing the necessary knowledge to assess and verify compliance. Therefore, PECB has developed the ISO/IEC 42001 Lead Auditor training course to empower participants with the knowledge and skills essential for planning and conducting ISO/IEC 42001 audits based on best audit practices.

The ISO/IEC 42001 Lead Auditor training course is beneficial for professionals seeking to stay ahead of the competition. This training course equips you with the expertise needed to navigate the intricate realm of AI-influenced organizational frameworks, ensuring you are well-prepared to contribute to the success of organizations in this transformative era.

After finishing the training course, you will be eligible to take the exam. After passing the exam, you will be able to apply for the “PECB Certified ISO/IEC 42001 Lead Auditor” credential. This certification proves your professional expertise in auditing organizations against ISO/IEC 42001 based on best auditing practices.

Who Should Attend?

This training course is intended for:

Individuals with a background in auditing, whether internal or external, seeking to specialize in auditing AI management system
Managers or consultants seeking to master the AI management system audit process
Individuals responsible for maintaining conformity with the AI management system requirements in an organization
Expert advisors in AI management
Professionals involved in analyzing and understanding business requirements for AI implementation
Individuals involved in the development and implementation of AI solutions and in designing the architecture of AI systems

Learning objectives

After completing this training course, you will be able to:

Explain the fundamental concepts and principles of an AI management system based on ISO/IEC 42001
Interpret the ISO/IEC 42001 requirements for an AI management system from the perspective of an auditor
Evaluate the AI management system conformity to ISO/IEC 42001 requirements in accordance with the fundamental audit concepts and principles
Plan, conduct, and close an ISO/IEC 42001 compliance audit, in accordance with ISO/IEC 17021-1 requirements, ISO 19011 guidelines, and other best practices of auditing
Manage an ISO/IEC 42001 audit program

Educational approach

This training course:

Integrates essential theoretical principles, ISO/IEC 42001 requirements, and industry-leading practices employed in AI management system audits
Enhances lecture sessions by illustrating concepts with practical examples derived from relevant case studies
Facilitates preparation through essay-type exercises and multiple-choice quizzes, some of which are scenario-based designed to closely replicate the format of the certification exam

Prerequisites

The main requirement for participating in this training course is having a fundamental understanding of ISO/IEC 42001 and AI principles and concepts.

Building Digital Trust through Responsible AI Audit

The ISO/IEC 42001 Lead Auditor training course significantly contributes to the creation of digital trust by ensuring that artificial intelligence systems are ethically and responsibly managed. By equipping participants with the skills to audit AI management systems, the training course helps organizations demonstrate their commitment to transparency, security, and accountability in AI usage. This enhances confidence among stakeholders, clients, and regulators, leading to the responsible and ethical deployment of AI technologies.