Generative Artificial Intelligence

This book comprehensively covers designing and implementing misinformation intervention strategies and risk communication approaches for generative artificial intelligence (AI) technologies. Key Features: • Showcases cutting‑edge technology and offers insights into one of the most rapidly evolving fields in AI. • Provides a comprehensive understanding of the underlying principles, algorithms, and applications of this cutting‑edge technology, offering insights into both its theoretical foundations and practical implementations. • Discusses generative AI models, unraveling the contrasts between machine learning, deep learning, and generative AI. • Presents AI‑based models for the detection and generation of fraudulent content. • Covers topics such as speech generation, deepfake technology, pose synthesis for animation, and sports performance analysis. This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

Dr. Deepika Varshney has been working as an Assistant Professor and serving academics and research in the Department of Computer Science and Engineering & Information Technology, Jaypee Institute of Information Technology, Noida, UP, since 2022. During her research career at Delhi Technological University, New Delhi, since 2019, she has worked on the cutting‑edge issue on social web platforms, specifically fraudulent content detection on social media platforms, and has received commendable research award of 50,000 for publishing article in SCI‑indexed journals in 2020, 2022, 2023, and 2024. She was also awarded with Senior Research Fellowship (SRF). She has published 20 research papers in SCI, SCOPUS, and international conferences. She has supervised both major and minor projects and is presently guiding two Ph.D. scholars. In addition, she has been actively involved in organizing short‑term training programs, faculty development programs (FDPs), and various academic initiatives. She also serves as a reviewer for several prestigious SCI‑indexed journals.Dr. Preeti Nagrath is working as an Associate Professor at Bharati Vidyapeeth’s College of Engineering. She has more than 20 years of academic experience. She holds a B.Tech, an M.Tech, and a Ph.D. in Computer Science and Engineering. Her areas of research include network security, delay tolerant networks, machine learning, and deep learning. She is a member of ISTE. She has more than 60 research papers in SCI‑indexed journals, highly reputed journals, and international conferences. She has worked on a government‑funded DST project on women security. She has chaired many sessions at international conferences. She is appointed as a reviewer for many conferences and journals. She has organized many faculty development programs, workshops, hackathons, and guest lectures. She has mentored teams in Smart India Hackathons. She has worked as an Associate Editor for the Journal of Multidisciplinary Engineering Technologies at Bharati Vidyapeeth’s College of Engineering in New Delhi. She is currently teaching deep learning and machine learning, web engineering, network security, software testing, and object‑oriented software engineering.Dr. Srishti Vashishtha is currently working at Bharati Vidyapeeth’s College of Engineering (BVCOE), GGSIPU, as an Assistant Professor in the Department of Computer Science and Engineering. She has received her Ph.D. degree in Sentiment Analysis and Social Media domain from Delhi Technological University in 2022. She has received a B.Tech degree in Information Technology from the Maharaja Surajmal Institute of Technology, GGSIPU, New Delhi, India, and an M.Tech degree in Computer Science from the University School of Information, Communication and Technology, GGSIPU. Her current areas of interest include machine learning, deep learning, data mining, natural language processing, sentiment analysis, speech emotion recognition, and fuzzy logic. She has about 10+ years of teachi