This edition of Handbook on Artificial Intelligence and Machine Learning by D.P. Mittal serves as a comprehensive and authoritative reference on the technological, legal, ethical, and regulatory aspects of AI and ML. It is designed for legal practitioners, policymakers, technologists, and researchers seeking a holistic understanding of these transformative technologies and their implications.

The book blends technical concepts with legal analysis, offering insights into AI/ML fundamentals, governance frameworks, and the evolving legal landscape in India and globally. It examines emerging challenges and opportunities in deploying AI and ML across sectors, making it a valuable guide for both legal and technology domains.

The content spans the full scope of AI and ML topics, including:

• Fundamentals and core principles of Artificial Intelligence and Machine Learning

• Key technologies such as neural networks, deep learning, and natural language processing

• Applications of AI and ML across industries including healthcare, finance, manufacturing, and governance

• Ethical issues, bias, accountability, and transparency in AI systems

• Data protection, privacy, and intellectual property implications of AI-generated outputs

• AI governance frameworks and regulatory developments in India and abroad

• Liability and legal responsibility for AI-driven decisions and actions

• Policy recommendations for responsible AI adoption

• International case studies and comparative approaches to AI regulation

• Future trends and the role of AI in shaping law, business, and society

This edition is particularly suitable for:

• Legal practitioners and policymakers shaping AI/ML governance

• Technology professionals integrating AI solutions in business and public sectors

• Academicians, researchers, and students of law, technology, and public policy

• Industry leaders exploring AI applications within ethical and regulatory boundaries

• Compliance officers and corporate counsels ensuring AI-related legal adherence

Whether used for legal analysis, technology strategy, policymaking, or academic research, this handbook delivers a complete, practical, and forward-looking perspective on the law and practice relating to Artificial Intelligence and Machine Learning.