A Compendium of Responsible Artificial Intelligence (Hardcover)

Deepak Kumar Jain

ISBN 10: 1032825278 / ISBN 13: 9781032825274

Published by Taylor & Francis Ltd, London, 2025

About this Item

Hardcover. Taking a broad, multidisciplinary approach to the ethical, legal, and practical dimensions of developing AI, the book puts key issues such as bias, transparency, accountability, and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values. This book can be read as a resource for those who want to be able to guide the development and deployment of responsibly controlled AI systems. The book puts key issues such as bias, transparency, accountability and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781032825274

Bibliographic Details

• Title: A Compendium of Responsible Artificial Intelligence (Hardcover)
• Publisher: Taylor & Francis Ltd, London
• Publication Date: 2025
• Language: English
• ISBN 10: 1032825278
• ISBN 13: 9781032825274
• Binding: Hardcover
• Condition: new

About this title

Synopsis

Taking a broad, multidisciplinary approach to the ethical, legal, and practical dimensions of developing AI, the book puts key issues such as bias, transparency, accountability, and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values. This book can be read as a resource for those who want to be able to guide the development and deployment of responsibly controlled AI systems.

About the Author

Deepak Kumar Jain is an Associate Professor at the Dalian University of Technology, Dalian, China. He holds Postdoctoral degree in Computer Vision from ARMTEC Tecnologia em Robótica, a PhD in Pattern Recognition and Intelligent System from the University of Chinese Academy of Sciences. He has developed a novel Iris recognition algorithm for the Aadhar Card (an identity card) system (in India) and explored new methods and applications of Deep Reinforcement Learning. He has published numerous publications in SCI/SCIE/Web of science indexed journal.

Kirti Raj Bhatele is an Assistant Professor in the Department of CSE in RJIT, Border Security Force Academy, Tekanpur, Gwalior, India. He has 10 years of teaching and research experience, and has published many research papers in high impact factor peer reviewed journals/conferences. He has received three government research fellowships from the Madhya Pradesh Council of Science and Technology, Bhopal, India. His research interest lies in Image Processing, Medical Image Processing, Machine learning and Cyber security etc.

Deepak Garg is PhD in Computer Science with specialization in Efficient Algorithm Design. With 25 years of experience, he has worked as Professor and Dean, School of Computer Science at Thapar Institute of Engineering and Technology, Patiala and Bennett University, Greater Noida. He is Distinguished Professor in Artificial Intelligence and known as one of the top voices in the country on AI. He is leading the largest Development, Skilling and Research initiative in AI in India with more than 1000 institutional collaborators.

Gaurav Dhiman holds a PhD in Computer Engineering from Thapar Institute of Engineering & Technology, Patiala, and has also completed a Master's Degree in Computer Applications from the same institute. He is an Assistant Professor in the School of Sciences and Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Patiala. His research has been recognized at the highest level, as he has been named one of the world's top researchers by Clarivate Analytics as world's top 1% and by Stanford University, USA list of world's top 2% scientists.