Call for Chapters: Generative AI Foundations, Developments, and Applications

Editors

RAJKUMAR KANNAN, Bishop Heber College Autonomous, India
Muneer Ahmad, University of Roehampton, United Kingdom

Call for Chapters

Proposals Submission Deadline: May 5, 2024
Full Chapters Due: July 7, 2024
Submission Date: July 7, 2024

Introduction

In recent years, there have been incredible strides in the field of generative artificial intelligence (AI), leading to remarkable advancements that are reshaping multiple domains. From the realms of art and music to language and healthcare, generative AI has emerged as a transformative force, revolutionizing how we create and interact with content. The remarkable ability of generative AI models to autonomously generate new and original content has captured widespread attention and ignited a wave of innovation. This proposal lays out an ambitious book project that seeks to delve deep into the theoretical underpinnings, cutting-edge developments, and real-world applications of generative AI. By exploring the foundational concepts and latest breakthroughs in the field, this book aims to provide readers with a comprehensive understanding of generative AI and its transformative potential. From theoretical frameworks to practical implementations, this project aims to uncover the full spectrum of possibilities that generative AI offers across various domains and industries

Objective

The objective of this book is to serve as a comprehensive resource that sheds light on all aspects of generative artificial intelligence (AI), from its theoretical foundations to its practical applications. By delving into the intricacies of generative AI algorithms and showcasing their real-world implementations, this book aims to accomplish several key goals: 1. Educational Resource: This book seeks to provide students, researchers, practitioners, and enthusiasts with a thorough understanding of generative AI. By offering clear explanations and examples, it aims to demystify complex concepts and make them accessible to a wide audience. 2. Bridge Theory and Practice: One of the main objectives is to bridge the gap between theoretical knowledge and practical applications. By exploring both the theoretical foundations and real-world implementations of generative AI, this book aims to equip readers with the knowledge and tools they need to apply these techniques in their own projects and research. 3. Contribution to Current Research: Through discussions of the latest developments and emerging trends in generative AI, this book aims to contribute to the ongoing research in the field. By synthesizing existing knowledge and highlighting areas for further exploration, it seeks to inspire new avenues of research and innovation. 4. Address Ethical and Social Implications: In addition to technical aspects, this book also aims to address the ethical and social implications of generative AI. By examining issues such as bias, fairness, and accountability, it seeks to foster discussions around responsible AI development and deployment.

Target Audience

The target audience for this book encompasses a diverse range of individuals with varying levels of familiarity and expertise in artificial intelligence (AI) and related fields. Specifically, this book is geared towards: 1. Students: Whether undergraduate or graduate students studying computer science, data science, engineering, or related disciplines, this book provides a foundational understanding of generative AI concepts and techniques. It serves as a learning resource for those seeking to explore the field and develop their skills in AI research and development. 2. Researchers: Academics and professionals actively engaged in AI research will find value in this book's in-depth exploration of theoretical frameworks, advanced techniques, and emerging trends in generative AI. It offers insights into cutting-edge research and provides avenues for further investigation and experimentation. 3. Practitioners: Professionals working in industries such as technology, healthcare, finance, entertainment, and creative arts will benefit from the practical insights and real-world applications presented in this book. It offers guidance on implementing generative AI solutions across various domains, fostering innovation and problem-solving in practical settings. 4. Enthusiasts: Individuals with a general interest in artificial intelligence, machine learning, and technology, but without extensive technical backgrounds, will also find this book accessible and engaging. It provides an opportunity to explore the fascinating world of generative AI, understand its potential impact on society, and appreciate its creative possibilities. This book is designed to cater to a broad audience interested in generative AI, ranging from beginners looking to build foundational knowledge to experts seeking to stay updated on the latest advancements and applications. Whether readers are students, researchers, practitioners, or simply curious enthusiasts, they will find valuable insights and resources within the pages of this book.

Recommended Topics

Theoretical Foundations: • Introduction to Generative AI • Overview of Generative Models • Generative Adversarial Networks (GANs) • Variational Autoencoders (VAEs) • Transformers and Attention Mechanisms State-of-the-Art Techniques: • Conditional Generation • Style Transfer • Unsupervised Learning • Reinforcement Learning in Generative Models • Evolutionary Algorithms for Generation Ethical and Social Implications: • Bias and Fairness in Generative AI • Accountability and Transparency • Privacy Concerns • Societal Impact of Generative AI Creative Applications: • Generative Art and Design • Music Generation and Composition • Text Generation and Storytelling • Fashion Design and Style Transfer • Video and Image Synthesis Practical Implementations: • Natural Language Processing (NLP) Applications • Computer Vision Applications • Healthcare Applications • Finance and Business Applications • Gaming and Virtual Reality (VR) Applications Future Directions: • Challenges and Opportunities in Generative AI • Emerging Trends and Research Directions • Integration with Other AI Techniques • Human-AI Collaboration and Co-creation • Speculations on the Future of Generative AI

Submission Procedure

Researchers and practitioners are invited to submit on or before May 5, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by May 19, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by July 7, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Generative AI Foundations, Developments, and Applications. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

May 5, 2024: Proposal Submission Deadline
May 19, 2024: Notification of Acceptance
July 7, 2024: Full Chapter Submission
August 11, 2024: Review Results Returned
September 8, 2024: Final Acceptance Notification
September 15, 2024: Final Chapter Submission



Inquiries

RAJKUMAR KANNAN Bishop Heber College Autonomous dr.rajkumarkannan@gmail.com Muneer Ahmad University of Roehampton muneer.ahmad@roehampton.ac.uk

Classifications


Business and Management; Computer Science and Information Technology; Education; Environmental, Agricultural, and Physical Sciences; Library and Information Science; Medical, Healthcare, and Life Sciences; Media and Communications; Security and Forensics; Government and Law; Social Sciences and Humanities; Science and Engineering
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