In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation. Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially. Tailored for researchers, academics, and professionals, this publication serves as a beacon of ethical excellence. With a comprehensive exploration of bias, fairness, transparency, and accountability, it guides readers through the intricate web of ethical considerations. From foundational philosophical frameworks to real-world case studies, the book offers a roadmap to not only understand but actively shape the ethical trajectory of AI and data science. It is more than a book; it serves as a transformative tool for those seeking to align technological innovation with ethical standards and societal values.
Author Biography:
Rajeev Kumar is a proficient academician and academic administrator with more than 14 years of experience in developing the strategy towards the excellence in professional education. Prof. Kumar is currently serving as Professor of Computer Science and Engineering Department, Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India. Prof. Kumar, earned the intellect in distinction as Ph.D. (Computer Science), D.Sc. (Post-Doctoral Degree) in Computer Science, Postdoctoral Fellowship (Malaysia). He has done certification in Data Science and Machine Learning using python and R Programming from IIM Raipur and certification from IBM, Google, etc, Senior member of IEEE and core team member of IEEE young professional committee and he is having membership of Computer Society of India, and AIEEE. He has participated many training programs in leadership, and also delivers the expert talks on how to develop or enrich the curriculum, development of PO, PSO, PEOs, and how to design the vision and mission and the implementation. His academic areas of interest and specialization include Artificial Intelligence, Cloud Computing, e-governance and Networking.
Ankush Joshi, a seasoned professional with 13 years of experience, holds an impressive academic background. His pursuit of knowledge continued with postgraduate qualifications, including an MCA and M.Tech, culminating in a Ph.D. Currently serving as an Assistant Professor at COER University, Roorkee, Dr. Joshi specializes in the dynamic fields of Artificial Intelligence, Machine Learning, and Data Science. His extensive expertise and dedication make him a valuable asset in shaping the academic landscape at COER. He is authored and co-authored more than 10 papers in refereed international journals and IEEE conferences, Served as a reviewer and chaired a session in IEEE conferences.
Hari Om Sharan, serving as Dean – Academic Affairs & FET at Rama University Uttar Pradesh, Kanpur (India), he is having more than 15 Years of experience in academic as well in research, his research area is AI, Security and HPC. Dr. Sharan received his Ph.D in DNA Computing: A Novel Approach towards the solution of NP-Complete Problems, and his UG (B.Tech) & PG (M.Tech) in Computer Science and Engineering, He has done International certification in Data Science and Artificial Intelligence Machine Learning Deep Learning and its Application. Dr. Sharan also published three (03) books on Mobile Network Technology. Dr. Sharan developed short term course on Artificial Intelligence Machine Learning Deep Learning and its Application, and published 14 patents (National/International) & copyrights mostly in Computer Science and Engineering to serve the nation in the field of research. Dr. Sharan authored and coauthored more than 60 papers in refereed international journal & many international Conferences and National Conferences & serve as editor/Reviewer of different international journals, Springer International Conferences.
Sheng-Lung Peng is a Professor and the director (head) of the Department of Creative Technologies and Product Design, National Taipei University of Business, Taiwan. He received the PhD degree in Computer Science from the National Tsing Hua University, Taiwan. He is an honorary Professor of Beijing Information Science and Technology University, China, and a visiting Professor of Ningxia Institute of Science and Technology, China. He is also an adjunct Professor of Mandsaur University, India. Dr. Peng has edited several special issues at journals, such as Soft Computing, Journal of Internet Technology, Journal of Real-Time Image Processing, International Journal of Knowledge and System Science, MDPI Algorithms, and so on. His research interests are in designing and analyzing algorithms for Bioinformatics, Combinatorics, Data Mining, and Networks areas in which he has published over 100 research papers.
