Cover of ISO/IEC 42001:2023 Audit Competence Training Textbook
Enerstay Sustainability Press · First Edition

ISO/IEC 42001:2023 Audit Competence Training Textbook

Artificial Intelligence Management System Audit Competence Training Program

Chief editors
Haizhou Wang · Prof. Yuanzhe Li
Responsible editors
Jiahui Wu · Zeean Tay
Publication
Singapore · 2026 · Paperback
Language and extent
English · 209 pages
SGD 38per copy
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From the book

Preface

This textbook is training and audit-competence development material based on the management-system logic of ISO/IEC 42001 and related AI-governance practices. It is not the official ISO/IEC 42001 text and must not replace the official standard, applicable audit criteria, laws, contracts or organisational documented information.

Its purpose is to help learners understand the management-system logic, audit thinking, evidence route and competence requirements behind an artificial intelligence management system. Examples, cases, templates, workpapers and exercises are designed for training and are not legal opinions, regulatory interpretations, technical validation conclusions or consulting schemes.

The textbook is based on ISO/IEC 42001:2023 and refers to related standards and regulatory contexts where relevant. Readers should distinguish the edition year of each referenced standard from the publication year of this textbook and verify applicable requirements for the auditee’s jurisdiction, role and AI use case.

The primary audience includes management-system auditors, certification-body personnel, internal auditors, compliance and risk professionals, AI-governance managers, information-security and privacy practitioners, AI product and lifecycle owners, and training providers.

The central task is to show how AI-specific risk, impact, lifecycle, data, human oversight, transparency and third-party dependence enter the management-system audit route. The text explains how to learn and audit; it does not replace normative documents.

AI systems introduce data, models, prompts, lifecycle changes, third-party services and human-machine interactions. Auditors need compound competence: management-system thinking, AI literacy, risk and impact sensitivity, evidence discipline and professional restraint.

The learning route moves from purpose and structure to context, scope, leadership, risk, support processes, lifecycle control, Annex A controls, audit planning, on-site audit, findings, reporting, industry cases and auditor competence. It repeatedly uses the route of requirement, implementation, evidence and judgement.

Learners new to ISO/IEC 42001 should begin with the foundational chapters before moving into lifecycle controls and audit execution. Experienced auditors may focus on adapting existing audit principles to AI scenarios, while instructors may use the appendices for simulations, working papers, competence evaluation and course design.

This page presents publication information and the preface only. The full book is not publicly downloadable.