The internationally recognized Artificial Intelligence Management System Standard (AIMS) has now been introduced in its first edition, ISO/IEC 42001:2023.
ISO/IEC 42001:2023 Artificial Intelligence Management System has proven to be highly beneficial for all types of organizations regardless of their type or size, since artificial intelligence technologies are increasingly embedded in business processes and decision-making systems. Uncontrolled or poorly governed AI can expose organizations to serious risks related to ethics, transparency, bias, safety, and regulatory non-compliance. ISO/IEC 42001:2023 sets the framework for responsible and trustworthy AI governance and is therefore highly beneficial for the sustainable and safe use of artificial intelligence within organizations.
Gain the knowledge and skills to audit and improve a company’s Artificial Intelligence Management Systems with our Lead Auditor ISO/IEC 42001:2023 AIMS course.
This online course, designed by the LiberoAssurance Training team, aims to equip participants with the necessary knowledge to effectively conduct AIMS audits, in accordance with internationally recognized best-practice auditing techniques for ISO/IEC 42001:2023.
The course is divided into three parts:
- Part A: ISO/IEC 42001:2023 Awareness
This part covers all clauses of ISO/IEC 42001:2023. Build your knowledge around the purpose, aims, requirements, and benefits of the standard, including its structure, key terms and definitions, artificial intelligence governance principles, risk management, lifecycle management of AI systems, and key AIMS concepts.
- Part B: ISO/IEC 42001:2023 Lead Auditor
Obtain the ability to conduct effective Artificial Intelligence Management System audits and gain confidence to demonstrate your commitment to responsible AI by converting existing auditor skills to ISO/IEC 42001:2023.
Successful candidates will receive ISO/IEC 42001:2023 Artificial Intelligence Management System Lead Auditor Certificate upon successful exam completion.
By the end of this comprehensive course, you will be well equipped to combine your auditing expertise with the latest developments in artificial intelligence governance and management systems.
Aims & Objectives
- Deliver the key requirements the key requirements and benefits of ISO 42001:2023
- Outline the steps towards effective Management of Artificial Intelligence
- Manage Artificial Intelligence related risks and hazards effectively
- Provide the application of risk-based thinking, frameworks and process management
- Present the key auditing techniques to plan, conduct and follow-up actions
Learning Outcomes
Having successfully completed this course you will be able to:
- Identify the key requirements and benefits of ISO/IEC 42001:2023
- Manage AI systems and drive continual improvement
- Take steps to ensure that AI management is at the heart of your organization
- Attract and retain customers by meeting their current and future needs
- Identify the aims and benefits of an ISO/IEC 42001:2023 audit
- Interpret ISO/IEC 42001:2023 requirements for audit application
- Plan, conduct and follow-up auditing activities that add real value
- Grasp the application of risk-based thinking, leadership, governance, and lifecycle management for AI management
- Access the latest auditor techniques and identify appropriate use
- Build stakeholder confidence through the most recognised hygiene practise
- Manage AI risks and hazards effectively
Who should attend?
- Managers
- Business professionals
- Management system professionals
- ISO Consultants
- Top management and management representatives responsible for AI oversight
- Information security, finance, customer care/support, R&D and IT personnel
Prerequisite skills & knowledge: None required
Available in-house/distant learning? Yes
Created by: LiberoAssurance Continuous Professional Development Training Centre.
Part A Contents: ISO 42001:2023 Requirements
Introduction
Clauses 0-3
- Scope
- Normative references
- Terms and definitions
Context of organisation
- Understanding the organisation and its context
- Understanding the needs and expectations and expectations of interested parties
- Determining the scope of the AI management system
- AI management system
Leadership
- Leadership and commitment
- AI Policy
- Organizational roles, responsibilities and authorities
Planning
- Actions to address risks and opportunities
- AI objectives and planning to achieve them
- Planning of changes
Support
- Resources
- Competence
- Awareness
- Communication
- Documented information
Operation
- Operational and planning control
- AI risk assessment
- AI risk treatment
- AI system impact assessment
Performance evaluation
- Monitoring, measurement, analysis and evaluation
- Internal audit
- Management review
Improvement
- Nonconformity and corrective action
- Continual Improvement
Annex A - Reference control objectives and controls
Annex B - Implementation guidance for AI controls
Annex C - Potential AI-related organizational objectives and risk sources
Annex D - Use of the AI management system across domains or sectors
Part B: ISO/IEC 27001:2022 Lead Auditor
The Audit
- What is an audit?
- Why Audit?
- Audit Types
Audit steps
- Audit Plan
- Developing Checklists
- Opening Meeting
- Conducting the Audit
- Closing Meeting
- Audit Report
- Audit Follow-up Activities
Audit programme
- Establishing the audit programme objectives
- Identifying and evaluating audit programme risks and opportunities
- Process flow for the management of an audit programme (Ref ISO 19011)
- Managing an audit programme
- Audit programme Implementation
- Process of collecting and verifying information
- Monitoring audit programme
- Improving audit programme
Accreditation & Certification
- Accreditation & Certification Bodies
- Certification Process
Auditor’s Performance
- Auditor’s Quality
- The Auditors conduct
- Auditor’s Code Conduct
- Auditor Characteristics
- Auditor's personal behavior
- Auditee’s conduct
- Selecting the audit team members
- Skills of audit team leaders
- How to evaluate an Auditor
- Maintaining and improving auditor competence
Psychological factors during an audit
- Attitudes and relationships
- Obstacles and communication
- Space and Time issues
- Body language
- Cultural factors
- Principles of Listening
- Questions & questioning
Audit tips and techniques
- Tips to trained auditor
- Question Technique
- Competence of the audit programme manager
Exam & Certification
- Exam on ISO/IEC 42001:2023 (AIMS) Lead Auditor
- ISO/IEC 42001:2023 (AIMS) Lead Auditor Certificate
Teaching Methods
- Detailed seminar presentations (available for download)
- Terms and definitions
- No. of slides: 101
Resources
- Reading lists and resources available in presentations
Study time allocation
- Private study hours: 11
- Trainer contact hours: Availability and competence of instructors upon request
- Enrollment Duration: 90 days (starting from the date of purchase)
Credits
- CPD Points: 11
- ECTS/ECVET Points: 0.4
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Assessment methods
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Hours
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% contribution to final mark
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% Minimum passing grade
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Exam for ISO/IEC 42001:2023 Lead Auditor
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1
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100
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60
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Outcomes/Certificates
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On successful completion of the course assessment, participants will be issued with a ‘Certificate of Success’
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