This book offers a comprehensive examination of the intersection between artificial intelligence (AI), ethics, and governance, addressing the critical need for responsible AI deployment in our rapidly evolving technological society. Through a blend of theoretical insights and practical case studies, the book delves into the current policy frameworks and ethical considerations shaping AI governance. The book adopts a multidisciplinary approach, integrating perspectives from computer science, ethics, law, and public policy to provide a holistic view of the challenges and opportunities in AI governance. This unique approach ensures that readers gain a nuanced understanding of how AI can be developed and deployed responsibly, balancing innovation with societal good. New to this book is its in-depth analysis of emerging AI policies across different regions, offering a comparative perspective that highlights both global trends and local nuances. The authors provide critical reflections on existing governance models, propose actionable recommendations for policy-makers, and explore the implications of AI on fundamental human rights and societal norms. The scope of the book is broad, covering key topics such as algorithmic transparency, data privacy, bias mitigation, accountability, and the socio-economic impacts of AI. It also addresses the ethical dilemmas faced by AI practitioners and the importance of fostering public trust in AI technologies.

The expected readership includes policy-makers, academic researchers, industry professionals, and students in the fields of AI, ethics, and public policy. By providing actionable insights and fostering a deeper understanding of AI governance, the book aims to equip these audiences with the knowledge needed to navigate the complex landscape of AI ethics and governance effectively. The book is an essential resource for anyone committed to ensuring that AI technologies are developed and deployed in ways that are ethical, transparent, and beneficial to society.

Chhavi Sharma is Assistant Professor of Information Technology at the Jaypee Business School, JIIT, Noida. She has been a INSPIRE DST scholar and received her PhD in Artificial Intelligence from the Department of Computer Science, University of Delhi. Her Masters in Informatics and Bachelors in Computer Science degrees are from Delhi University as well. She has a PG Diploma in Intellectual Property Rights from Indian Law Institute, New Delhi. In her prior teaching experience at IIM Amritsar, she has taught subjects like machine learning, Python for managers, emerging technologies, management information systems etc. She has worked as guest faculty at Faculty of Management Studies (FMS), Delhi University. She has been doing interdisciplinary research on the social aspects of Artificial Intelligence in the last few years.

Sachin Kumar is Assistant Professor of Computer Science/Artificial Intelligence at Cluster Innovation Centre, University of Delhi, India. He is currently serving at Harvard University as an AI Researcher.  He advances cutting-edge research at the intersection of artificial intelligence (AI)/machine learning (ML), data science/statistical analysis, computational social science (CSS), AI4SocialGood, and AI for Climate and Sustainability. He has an extensive publication record, with more than 40 research publications, including research articles, books, book chapters, and conference papers at top and reputable venues. Dr. Kumar holds PhD in Computer Science from the University of Delhi. Complementing his academic achievements, Dr. Kumar has industry experience as a Software Development Engineer at IHS Markit Information Mosaic UK, bringing together practical engineering expertise and scholarly rigor. With over 12 years of combined experience in industry, teaching, and research, he has authored three books: “Operating Systems: Concept Building and Problem-Solving Approach”,“ Digital Transformation, Artificial Intelligence and Society: Opportunities and Challenges”, and “Artificial Intelligence: Understand, Adapt, Succeed”. Dr. Kumar has served as principal investigator on several funded research projects related to Core AI/ML, AI for social good, urban challenges, governance and public policy, climate change and sustainability, and CSS. As an active member of IEEE and ACM, he is committed to developing AI-driven solutions to real-world societal challenges and regularly engages in public discourse on emerging technologies and their societal impacts in newspapers, podcasts, and social media.

Ajit Kumar Verma is a professor (technical safety) in the Faculty of Technology, Environmental and Social Sciences, Western Norway University of Applied Sciences, Haugesund, Norway (since 2012), and was a professor/ senior (HAG scale) professor for around 15 years with the Reliability Engg/Department of Electrical Engineering at IIT Bombay, India, with a research focus in RAMS, risk and safety engineering, computational intelligence/ AI applications in various domains. He was awarded (2017) “Honorary Professor” at Amity University, India, and also a Lifetime Achievement award at IIT Madras by SRESA, Kurukshetra University and Amity University. He has been Editor-in-Chief of multiple journals in the past. ScholarGPS in 2025 ranked him in the top three in the world based on his lifetime contributions in Safety Engineering, and also as a 'Highly Ranked Scholar- Lifetime' in the top 0.05 percent worldwide in his field.