
A Compendium of Responsible Artificial Intelligence
CRC Press
1st Edition
Published on 14. July 2025
Book
Hardback
336 pages
978-1-032-82527-4 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Illustrations
9 s/w Tabellen, 12 farbige Abbildungen, 5 Farbfotos bzw. farbige Rasterbilder, 7 farbige Zeichnungen
9 Tables, black and white; 7 Line drawings, color; 5 Halftones, color; 12 Illustrations, color
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 23 mm
Weight
693 gr
ISBN-13
978-1-032-82527-4 (9781032825274)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Deepak Kumar Jain | Kirti Raj Bhatele | Deepak Garg
A Compendium of Responsible Artificial Intelligence
E-Book
07/2025
CRC Press
€73.99
Available for download

Deepak Kumar Jain | Kirti Raj Bhatele | Deepak Garg
A Compendium of Responsible Artificial Intelligence
E-Book
07/2025
CRC Press
€73.99
Available for download
Persons
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 Robotica, 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.
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.
Editor
DUT, China
School of CS and AI, SRU, Warangal, Telangana, India
PSOU, India
Content
Preface. Foreword. Introduction to Responsible AI. AvatarGuard: Customizable, Secure, and Private Virtual Identities for Video Conferencing. AI Ethics: A Deep Dive. Bias in AI: Causes and Mitigation. Bias in AI: Causes and Mitigation. Transparency and Explainability in AI. PromptCraft: Illuminating Ideas with High-Definition Brilliance through Stable Diffusion in Text-to-Image Generation. Responsible AI in Autonomous Systems. Responsible AI Governance and Regulation. Charting the Future of Responsible AI. AI for Good: Social and Environmental Impact. AI in Finance: Navigating Ethical Quandaries.