Iso 42001:2023 Artificial Intelligence Management Systems

ISO 42001 Artificial Intelligence Management Systems

What you'll learn

Understand the Framework: Explain the purpose, structure, & key components of ISO 42001 to effectively establish an Artificial Intelligence Management System

Manage AI Risks: Identify and apply risk controls to address AI-specific challenges

Implement AIMS: Develop skills to plan, implement, and integrate an AIMS into organizational processes, ensuring responsible AI development and deployment

Monitor and Improve: Utilise monitoring, auditing, and continual improvement techniques to evaluate AIMS performance and maintain compliance with ISO 42001

Requirements

No strict prerequisites are typically required, though familiarity with AI basics or management systems (e.g., ISO 9001, ISO 27001) can be helpful. The course suits beginners to advanced professionals, with content tailored to roles via awareness, implementer, or auditor tracks.

Description

ISO 42001:2023 is an international standard that outlines requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS). Here is an introduction to the course based on the available information.This ISO 42001:2023 courses provides an introduction to the framework of AI Management Systems. This course are designed to equip participants with the knowledge and skills needed to manage AI responsibly within organisations. This course is tailored for professionals involved in AI development, implementation, or management, including IT managers, compliance officers, consultants, and those responsible for strategic AI decisions within an organization.This standard is designed to help organizations manage AI systems responsibly, ensuring they are ethical, secure, and transparent. Here are key points about ISO 42001:2023:Objective: The primary goal is to balance innovation with governance, ensuring AI systems are developed, deployed, and maintained in a responsible manner. This includes addressing challenges like ethical considerations, transparency, and continuous learning.Applicability: This standard is applicable to any organization, regardless of size, type, or nature, that either provides or utilizes AI-based products or services.Structure: ISO 42001 follows the High-Level Structure (HLS) typical of ISO management system standards, making integration with other management systems (like ISO 9001 for quality management or ISO 27001 for information security) straightforward.

Overview

Section 1: Introduction to AI

Lecture 1 Welcome to our course

Lecture 2 What is artificial intelligence?

Lecture 3 The history of AI

Section 2: An introduction to Management Systems

Lecture 4 What is a management system?

Lecture 5 Annex L

Section 3: Understanding the ISO 42001:2023 standard

Lecture 6 What is ISO 42001:2023?

Lecture 7 Introduction to the standard and Clause 1 - Scope

Lecture 8 Clause 2 - Normative references

Lecture 9 Clause 3 - Terms and definitions of the standard

Section 4: Applying the ISO 42001 standard

Lecture 10 Clause 4 - Context of the organisation

Lecture 11 2024 Climate change amendment to Clause 4

Lecture 12 Clause 5 - Leadership

Lecture 13 Clause 6 - Planning

Lecture 14 Carrying out an AI risk assessment to ISO 23894:2023

Lecture 15 Carrying out an AI risk assessment to ISO 38507:2022

Lecture 16 Clause 7 - Support

Lecture 17 Clause 8 - Operation

Lecture 18 Clause 9 - Performance evaluation

Lecture 19 Clause 10 - Improvement

Lecture 20 Annex A

Lecture 21 Annex B

Lecture 22 Annex C

Lecture 23 Annex D

Section 5: The certification process

Lecture 24 The ISO 42001:2023 accredited certification process

This ISO/IEC 42001:2023 training course is designed for a wide range of professionals involved in the development, deployment, management, or oversight of AI systems. Here’s who can benefit: AI Developers and Data Scientists: Those building or managing AI technologies who need to ensure their systems are ethical, secure, and compliant with international standards. Compliance and Risk Managers: Professionals responsible for aligning AI initiatives with regulatory requirements and managing risks like bias, privacy, or security issues. Executives and Decision-Makers: Leaders (e.g., CTOs, CEOs, or AI strategists) who set AI policies, oversee governance, and aim to integrate responsible AI into business strategies. Auditors and Consultants: Internal or external auditors, as well as consultants, seeking to assess, certify, or advise organizations on AIMS implementation and compliance. Project Managers and IT Professionals: Those overseeing AI projects or IT systems, ensuring alignment with ISO 42001’s framework for responsible AI use. Legal and Ethical Advisors: Professionals focused on AI ethics, transparency, or legal compliance, particularly in regulated sectors like healthcare, finance, or public services. Anyone Interested in AI Governance: Individuals or teams aiming to upskill in AI assurance, regardless of prior experience, to stay competitive in roles involving AI adoption or regulation. No strict prerequisites are typically required, though familiarity with AI basics or management systems (e.g., ISO 9001, ISO 27001) can be helpful. The course suits beginners to advanced professionals.