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Full Description
The book comprehensively covers designing and implementing misinformation intervention strategies and risk communication approaches for generative artificial intelligence technologies.
Showcases cutting-edge technology and offers insights into one of the most rapidly evolving fields in artificial intelligence.
Provide 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 artificial intelligence models, unraveling the contrasts between machine learning, deep learning, and generative artificial intelligence.
Presents artificial intelligence (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.
The text 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.
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
