Overview

As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people's data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.

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Jeganathan Gomathi Sankar , a distinguished scholar in the field of marketing, currently serves as a faculty member at the BSSS Institute of Advanced Studies. He holds a Ph.D. from Pondicherry University, where his research concentrated on information diffusion, Information and Communication Technology (ICT), marketing technology, artificial intelligence, and data science. His scholarly contributions have been disseminated through publications in esteemed journals indexed in Scopus and the Australian Business Deans Council (ABDC). Sankar’s academic approach is characterized by the integration of theoretical insights with practical applications, enabling students to acquire a comprehensive understanding of contemporary marketing trends. Proficient in analytical tools such as SPSS, AMOS, STATA, PowerBI, and Python, Sankar enhances the rigor of his research endeavors. His commitment to academic excellence is evident in his efforts to cultivate an environment that promotes critical thinking and intellectual engagement among students. Renowned for his dynamic teaching style, Sankar continues to mentor future marketing professionals at the BSSS Institute of Advanced Studies. His dedication to advancing knowledge in marketing and technology is underscored by his doctoral research and a robust record of academic and pedagogical achievements. Arokiaraj David serves as an Associate Professor of Al Tareeqah Management Studies in UAE. He has successfully cleared the UGC-National Eligibility Test for Lectureship (NET) and has been honored with the Junior and Senior Research Fellow (JRF and SRF) titles. With over a decade of teaching and research experience, his areas of expertise include Green Marketing, Consumer Behavior, Product & Brand Management, Global Marketing, Retail Management, Strategic Management, Data Analytics, Sustainable Practices, Resources Management, Product Development, Environmental Responsibility, and General Management. Dr. David has authored more than 60 research articles, including 18 published in Scopus, 8 in ABDC, and 5 in Web of Science. He has also contributed to 11 book chapters, published 4 books, registered 7 patents, and received 1 copyright and 1 consultant project. He is proficient in various research tools and techniques, such as SPSS, AMOS, E-Views, STATA, and PLS-SEM and has hands-on experience in both primary and secondary data analysis. Recently, Dr. David has been recognized with the Best Research Award, Young Academician Award, and Young Scientist Award.

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