Turn AI governance principles, standards, and regulatory requirements into a practical program that operates across the AI lifecycle.




This book shows you how to build responsible AI governance around ISO/IEC 42001, the NIST AI RMF, OECD AI Principles, the EU AI Act, and other frameworks. You’ll conduct AI risk and impact assessments, define governance roles and decision rights, establish policies and lifecycle controls, and create documentation for transparency, accountability, and AI compliance.




You’ll apply governance through development, deployment, monitoring, and retirement; address AI security and safety; prepare for AI incidents; and use AI audits and monitoring findings to strengthen controls. Practical scenarios, templates, checklists, and step-by-step guidance turn frameworks into repeatable organizational practices.




Written by Hemang Doshi, who has more than 20 years of experience in system audit, IT risk and compliance, internal audit, risk management, information security audit, third-party risk management, and operational risk management, this book connects governance frameworks with practical implementation. By the end, you’ll be able to build an accountable, audit-ready AI governance program and integrate AI risk management with existing compliance, security, privacy, and risk processes.