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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Algorithmic Bias
Autonomous Systems
Bias and Fairness
Building Ethical AI Teams
Case Studies
Data Ethics
Data Privacy
Discrimination
Ethical Frameworks
Explainable AI (XAI)
Fairness Metrics
General Data Protection Regulation
Informed Consent
Transparent AI

Table of Contents

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Editor/Author Biographies

Rajeev Kumar , Serving as Professor at Computer Science and Engineering Department, Moradabad Institute of Technology, Moradabad. He is having more than 14 Years of experience in academic as well in research, his research area is Cloud Computing, e-Governance, AI. Dr. Kumar received his Ph.D in Computer Science, D.Sc. (CS), Postdoctoral Fellowship (Malaysia) and he is Visited international countries London, United Kingdom and Mauritius as professional activities. Under his supervision awarded 9 scholar their Ph.D. and 5 Scholar is Ongoing their research work. He is awarded 3 times Best supervisor award; He is delivered a guest lecture, keynote speaker, chaired a session in many National and International conferences, Faculty Development program and workshop; He is completed one Research Project from DST in Bhimtal; He is organized many IEEE international conferences and workshop. He is authored and co-authored more than 105 papers in refereed international journal (SCI and Non- SCI) and conferences like IEEE, Springer, American Institute of Physics, New York Science international Journal New York City (USA), American Science Journal, BioInfo science Journal, Academic science of international journal (USA), International Journal of researcher, American Journal of Physics (USA) and many international Conferences and National Conferences, like IIT Roorkee (International Conference) etc.

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 – Academics at Amity University Kolkata (India), he is having more than 17 Years of experience in academic as well in research, his research area is Networking, AI, Security and High Performance Computing. . 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 guides the college towards academic excellence; promotes a culture of research, innovation and leads new curricula and program development efforts. He is expert in designing & deployment academic curriculum, and Program inception. As the chairman of IPR cell, he organizes the seminar, workshops for the students and faculty to promote the research. Dr. Sharan also published two books on Mobile Network Technology and Database. Dr. Sharan developed short term course on Artificial Intelligence Machine Learning Deep Learning and its Application, and published 43 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 80 papers in refereed international journal and conferences like IEEE, Springer, International Journal of researcher, American Journal of Physics (USA) and many international Conferences and National Conferences, like IIT (International Conference) etc. and serve as editor of different international journal and Reviewer in SCI and Non-SCI journal, serve as a committee member in many IEEE Society, Springer International Conferences. He delivered a many guest lectures and expert talk on the recent technologies of Computer Science & Engineering and on Curriculum Design and Development, keynote speaker, chaired a session in many National and International conferences, webinars, Faculty Development program and workshops. Dr. Sharan associated in many highly impact Society Membership like IEEE, ACM, CSI, IAENG, ISC.

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.

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