Governance, Risk, and Responsible Use of Generative AI is a comprehensive guide to understanding the opportunities, risks, ethical challenges, and regulatory requirements surrounding modern Generative Artificial Intelligence.

This book provides a structured and in-depth exploration of how generative AI works, its capabilities and limitations, and the technical, ethical, societal, operational, and reputational risks associated with its deployment. It equips readers with practical frameworks for AI risk management, regulatory compliance, and organizational governance in the age of intelligent systems.

Covering critical topics such as global AI regulations, data protection and privacy, responsible AI principles, fairness, transparency, explainability, accountability, and human oversight, the book serves as a blueprint for building trustworthy and secure AI systems. It also explains how organizations can design governance structures, manage compliance lifecycles, monitor risk thresholds, and implement safety and security controls against adversarial threats.

With a strong focus on real-world implementation, this book is ideal for professionals, policymakers, technologists, and students who want to ensure AI systems are ethical, safe, compliant, transparent, and aligned with societal values.