Aims & Objectives

• Identify the key requirements and benefits of ISO 42001:2023
• Manage AI risks, impacts, and controls while driving continual improvement of AI systems and drive continual improvement
• Take steps to ensure that responsible, ethical, and compliant AI is embedded across the organization
• Attract and retain customers by ensuring AI systems are trustworthy, transparent, and reliable
• Grasp the application of risk-based thinking, leadership, governance, and lifecycle management for AI
• Build stakeholder and regulator confidence by managing AI processes in line with internationally recognized requirements

Learning Outcomes

• Having successfully completed this course you will be able to:
• Understand the key requirements, terms, definitions, and structure of ISO/IEC 42001:2023
• Learn the importance and benefits of implementing an Artificial Intelligence Management System (AIMS)
• Apply ISO/IEC 42001:2023 requirements to AI-enabled operational and business processes
• Describe how the clauses of ISO/IEC 42001:2023 interact across the AI system lifecycle
• Grasp the main concepts, including:

• risk-based and impact-based thinking,
• AI governance and lifecycle management,
• the Plan-Do-Check-Act (PDCA) cycle for continual improvement of AI systems

Who should attend?

• AI governance leaders, compliance managers, and risk owners
• Top management and management representatives responsible for AI oversight
• Consultants and advisors supporting AI, digital, and regulatory compliance programs
• Current or aspiring AIMS internal auditors
• Those involved in the design, deployment, operation, maintenance, and supervision of AI systems
• Those who wish to understand ISO/IEC 42001:2023 and its practical application
• Those who must be informed about regulatory, ethical, and conformity requirements related to AI

Prerequisite skills & knowledge: None required

Available in-house/distant learning? Yes

Created by: LiberoAssurance Continuous Professional Development Training Centre.

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

Exam & Certification

• Exam on ISO/IEC 42001:2023 Artificial Intelligence Management System (AIMS) Awareness
• “ISO/IEC 42001:2023 Artificial Intelligence Management System (AIMS) Awareness” Certificate

Teaching Methods

• Detailed seminar presentations (available for download)
• Terms and definitions
• No. of slides: 184

Resources

• Reading lists and resources available in presentations

Study time allocation

• Private study hours: 22
• Trainer contact hours: Availability and competence of instructors upon request
• Enrollment Duration: 90 days (starting from the date of purchase)

Credits

• CPD Points: 22
• ECTS/ECVET Points: 0.7