Overview

Artificial Intelligence has evolved faster than most legal systems anticipated. Since the first edition of this book, the conversation has shifted from understanding AI to governing it. This second edition reflects that transformation. It expands on critical developments in AI governance, introduces practical frameworks for accountability, and examines emerging challenges such as AI-generated evidence, system-centered evaluation, liability in autonomous and generative systems, and the growing distinction between generative and agentic AI technologies. The goal remains the same: to bridge the gap between law and technology in a way that is practical, structured, and accessible. This book is designed not only to explain artificial intelligence and its legal implications, but to help lawyers, technologists, policymakers, organizations, and everyday readers understand how governance, responsibility, and trust must evolve alongside rapidly advancing AI systems.

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