About the Book
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.
Table of Contents:
Preface
About the Editors
List of Contributors
Chapter 1 Generative Artificial Intelligence: Foundations and Its Transformative Impact on Human Lives
Surabhi Shanker and Saloni Bhushan
Chapter 2 Technical Report Style
Saloni Bhushan and Surabhi Shanker
Chapter 3: How GenAI is replacing humans: Myth or real. Ethical Considerations in AI: Bias and Fairness in Generative Models
Deepika Bhatia, Raghav Tiwari, Adithya Venkateswaran, and Prachi Shrivastava
Chapter 4 Ethical Frontiers in AI Development: Navigating Innovation with Integrity in the Age of GenAI
Vijay kumar1, Rachna Narula2, Sarthak Khanna3, Anil Kumar4 Poonam Chaudhary5, and Surbhi Bhatia Khan6
Chapter 5 Text based Generative Al techniques
Neha Yadav, Dhanalekshmi Gopinathan and Alka Singhal
Chapter 6 AI-Driven Approaches for Hate Speech Detection: Methods and Challenges
Shikha Bhalla and Ashish Kumar
Chapter 7: Transforming Learning: The Role of Generative AI in Modern Education
Dhanlekshmi Gopinathan and Alka Singhal
Chapter 8 SageML: An Integrated End-to-End Automated Machine Learning Pipeline
Deepika Varshney, Prakhar Madnani, Devansh Kukreja and Ajaydeep
Chapter 9 Question Difficulty Estimation from Text with Natural Language Processing Techniques
Deepika Varshney, Neetu Sardana, and Anuja Arora
Chapter 10 Deep Learning Algorithm for Student Performance Grading System in Higher Education
Ajay Tripathi, Ashwani Varshney and Preeti Varshney
Chapter 11 Voice Based Generative AI Techniques
Arunita Chaukiyal and Hem Dutt Dabral
Chapter 12 Voice Assisted E-Commerce: Enhancing Accessibility for Visually Impaired Users Using Generative AI
Abhishek Chaudhary and Kirti Jain
Chapter 13 Voice-Based Deep Fake Technology
Mansimran Kaur, Priyansh Kashyap, Utku Kӧse and Preeti Nagrath
Chapter 14 Enhancing Communication: Recognition of American Sign Language Finger Spelling
Tejna Khosla and Deepika Bansal
Chapter 15: A Hybrid Framework for Detection & Diagnosis of Plant Diseases using Retrieval Augmented Generative AI
Megha Rathi, Harikesh Pratap Singh, Kaustubh Pandey, Harsh Dhanwani and Adwitiya Sinha
Chapter 16 Challenges of Generative Artificial Intelligence
Dr. Neetu Sardana1, and Dr Harsha Ratnani2
Chapter 17 Impact of Generative AI on Healthcare Imaging
Anshu Khurana, Tina Dudeja, Nitish Uppal and Nitin Garg
Chapter 18 Leveraging DC-GANs and Cyclic GANs for Synthetic MRI Image Generation and Neural Network Optimization
Kirti Aggarwal, Vikalp Srivastava and Kunal Kartikeya
Chapter 19 Next-Generation Health Services: Integrating Mobile Chatbots with Health Monitoring Technologies
Megha Rathi and Jaya Srivastava
Chapter 20 From Pixels to Prognosis: The Role of Image Synthesis in Medical Diagnosis
Vijay kumar1, Rachna Narula2, Sarthak Khanna3, Anil Kumar4 Poonam Chaudhary5, and Surbhi Bhatia Khan6
Chapter 21 HybrBPF: Hybrid Bitcoin Price Prediction Framework Using Sentiment Analysis and Regression
Abhinav Garg, Chhavi Dhiman and Ajay Kaushik
Chapter 22 A Framework based on Generative-AI for Stock Recommendation
Sonal Tuteja, Archit Malhotra, Aishwarya Shanker, and Yashika Agarwal
About the Author :
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 teaching experience in esteemed institutions. She qualified GATE and UGC‑NET. She has published 26 research papers in peer‑reviewed/Scopus/Web of Science‑indexed international journals and international conferences. She, with a current h‑index of 11, has published three Scopus‑indexed and six SCIE journal papers. She has published a book entitled Metaverse Technologies in Healthcare and holds two Indian design patents. She is a reviewer for various SCIE and peer‑reviewed journals. She has received DTU Research Excellence awards for commendable research (four times) in 2020, 2021, 2022, and 2023. She has received three Best Researcher awards from BVCOE in 2023 and 2024. She has received the Researcher of the Year award at the Universal Innovators Leadership Awards (UILA) organized by ICICC in 2024.
Victor Hugo C. de Albuquerque (Senior Member of IEEE) is currently a Professor and Senior Researcher at the Department of Teleinformatics Engineering (DETI)/Graduate Program in Teleinformatics Engineering (PPGETI) at the Federal University of Ceará (UFC), Brazil. He earned a Ph.D. in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010) and an M.Sc. in Teleinformatics Engineering from the PPGETI/UFC (UFC, 2007). He completed a BSE in Mechatronics Engineering at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He has experience in biomedical science and engineering, mainly in the research fields of applied computing, intelligent systems, visualization and interaction, with specific interest in pattern recognition, artificial intelligence, image processing and analysis, as well as automation with respect to biological signal/image processing, biomedical circuits, and human/brain–machine interaction, including augmented and virtual reality simulation modeling for animals and humans. He is a Full Member of the Brazilian Society of Biomedical Engineering (SBEB). He is an Editor‑in‑Chief of the Journal of Biomedical and Biological Sciences, as well as the Journal of Artificial Intelligence and Systems and the Journal of Biological Sciences, and an Associate Editor of the IEEE Journal of Biomedical and Health Informatics, Computers in Biology and Medicine, Frontiers in Cardiovascular Medicine, Computational Physiology and Medicine, Applied Soft Computing, IEEE Access, Frontiers in Communications and Networks, Computational Intelligence and Neuroscience, Measurement, and IET Quantum Communication. He has been a Lead Guest Editor of several highly reputed journals and a TPC member of many international conferences.
