ISO/IEC 42001 for AI

"ISO/IEC 42001 for AI: Building an AI Management System Engineers Can Operate"

AI governance often fails in one of two ways: it becomes abstract policy no delivery team can execute, or it collapses into scattered technical controls with no management-system discipline behind them. This book is written for experienced engineers, ML platform leaders, security and compliance architects, technical product owners, and internal auditors who need to turn ISO/IEC 42001 into something real, operable, and certifiable inside modern AI organizations.

Across the book, readers build a complete engineering-centered AI Management System: scoping and system inventory, stakeholder and impact analysis, leadership accountability, risk criteria, change planning, evidence engineering, lifecycle controls, Annex A control selection, runtime monitoring, internal audit, management review, and corrective action. The focus is not on paper compliance, but on designing workflows, ownership models, control gates, and traceability that fit software delivery, MLOps, and LLM-based systems. By the end, readers will be able to map clauses 4-10 into working operational practices and create audit-ready evidence as a byproduct of delivery.

The treatment is deliberately advanced and implementation-oriented. Rather than oversimplifying the standard, it shows how to integrate ISO/IEC 42001 with existing engineering systems, governance forums, and management-system machinery so organizations can improve control without sacrificing delivery speed.