ISO 42001 Training Overview

ISO (International Organisation for Standardisation) is a global federation of national standards bodies that develops and publishes international standards. Its importance stems from providing a foundation for quality, safety, and efficiency in both products and services across various industries. For organisations, ISO 42001 training enhances compliance and governance, improving overall AI management system effectiveness. Individuals benefit by gaining valuable skills that elevate their understanding and management of AI risks and strategies. Lastly, for delegates, this training opens up career opportunities in risk management and compliance, making them invaluable assets in technology-driven sectors.

In the ISO 42001 training course, delegates will explore a comprehensive framework for managing artificial intelligence within their organisations. The training covers a broad spectrum of topics, from understanding the organisational context and managing AI-related risks, to leading AI strategies and ensuring continual improvement. The course meticulously guides attendees through the essential components of the AI management system, focusing on effective implementation and monitoring.

Course Objectives:

• To understand ISO 42001’s scope and applications

• To identify risks and opportunities in AI management

• To develop and enforce an effective AI policy

• To enhance AI system monitoring and evaluation

• To execute successful AI risk treatment plans

• To lead AI initiatives with strategic oversight

After attending this training, delegates will be equipped to effectively lead and manage artificial intelligence initiatives within their organisations. They will be able to conduct thorough risk assessments, implement strategic AI policies, and ensure compliance with international standards. 

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ISO 42001 Training Outline

Module 1: Introduction of ISO 42001

• Scope

• Normative References

• Terms and Definitions

Module 2: Context of the Organisation

• Understanding the Organisation and Its Context

• Understanding the Needs and Expectations of Interested Parties

• Determining the Scope of the AI Management System

• AI Management System

Module 3: Leadership

• Leadership and Commitment

• AI Policy

• Roles, Responsibilities and Authorities

Module 4: Planning

• Actions to Address Risks and Opportunities

• AI Objectives and Planning to Achieve Them

• Planning of Changes

Module 5: Support

• Resources

• Competence

• Awareness

• Communication

• Documented Information

Module 6: Operation

• Operational Planning and Control

• AI Risk Assessment

• AI Risk Treatment

• AI System Impact Assessment

Module 7: Performance Evaluation

• Monitoring, Measurement, Analysis and Evaluation

• Internal Audit

• Management Review

Module 8: Improvement

• Continual Improvement

• Nonconformity and Corrective Action

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