Call for Chapters: Encyclopedia of Modern Artificial Intelligence, Second Edition

Editors

Mehdi Khosrow-Pour, D.B.A., Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA

Introduction

Building upon the foundation established in the first edition of the Encyclopedia of Modern Artificial Intelligence, this second edition reflects the extraordinary pace at which Artificial Intelligence (AI) has evolved in recent years. Although AI is not a new phenomenon, unprecedented advances in algorithms, computing power, data availability, and accessibility have accelerated its adoption across virtually all scientific and professional domains. Today, AI technologies are revolutionizing industries, driving innovation, enhancing productivity, and fundamentally transforming how societies and organizations operate. As AI capabilities and applications continue to expand with remarkable speed, a comprehensive and up-to-date understanding of its evolution, implications, and interdisciplinary impact is essential for effectively navigating the opportunities and challenges of an increasingly AI-driven world.

Objective

The Encyclopedia of Modern Artificial Intelligence, Second Edition serves as a timely and authoritative resource for capturing the rapidly evolving landscape of AI. Its mission is to deliver a comprehensive yet current body of knowledge that advances understanding AI concepts while highlighting the latest research, developments, and real-world application. Through peer-reviewed insights from leading experts, this encyclopedia ensures researchers and practitioners have access to up-to-date, actionable knowledge that reflects both the present state and future trajectory of AI.

Unlike traditional publishing models, which can carry a delayed release of content, this encyclopedia operates as a living reference work with a continuous publication model, publishing peer-reviewed articles immediately upon final acceptance. This ensures timely access to the most current and impactful research.

Target Audience

This publication includes topics ideal for a wide audience, including computer scientists, IT specialists, programmers, developers, information professionals, data scientists, security specialists, engineers, educators, business executives, legal professionals, scientists, medical professionals, managers, academicians, researchers, government officials, and upper-level students.

Recommended Topics

Article proposals are welcome on topics including, but not limited to:

Core AI Fields & Foundations 

  • Affective Computing 
  • Cognitive Computing 
  • Emotional Intelligence & AI 
  • Knowledge Representation 
  • Automated Reasoning 
  • Expert Systems 
  • Machine Learning 
  • Deep Learning 
  • Neural Networks 
  • Reinforcement Learning 
  • Supervised Learning 
  • Unsupervised Learning 
  • Semi-Supervised Learning 
  • Lifelong Learning 
  • Meta-Learning 
  • Few-Shot Learning 
  • Zero-Shot Learning 
  • AI Models, Architectures, & Methods 

  • Attention Mechanisms 
  • Bayesian Networks 
  • Convolutional Neural Networks (CNNs) 
  • Recurrent Neural Networks (RNNs) 
  • Transformer Models 
  • Generative Adversarial Networks (GANs) 
  • Generative AI 
  • Large Language Models (LLMs) 
  • Graph Neural Networks 
  • Neural Architecture Search (NAS) 
  • Automated Machine Learning (AutoML) 
  • Evolutionary Algorithms 
  • Swarm Intelligence 
  • Fuzzy Logic 
  • Federated Learning 
  • Edge AI 
  • Data, Analytics, & Learning Techniques 

  • Big Data Analytics 
  • Data Mining 
  • Predictive Analytics 
  • Recommendation Systems 
  • Synthetic Data Generation 
  • Unsupervised Domain Adaptation 
  • Counterfactual Explanations 
  • Natural Language, Speech, & Vision 

  • Natural Language Processing (NLP) 
  • Language Translation 
  • Sentiment Analysis 
  • Speech Synthesis 
  • Computer Vision 
  • Human-Centered AI & Interaction 

  • Human-Robot Interaction 
  • Robotics 
  • Chatbots 
  • Virtual Assistants 
  • Intelligent Tutoring Systems 
  • Personalized Education 
  • Ethics, Safety, Governance, & Policy 

  • AI Ethics 
  • AI Safety 
  • Explainable AI 
  • Interpretable Machine Learning 
  • Bias & Fairness in AI 
  • Fairness-Aware Machine Learning 
  • Privacy-Preserving AI 
  • AI Governance 
  • AI Regulation 
  • AI Law & Policy 
  • Healthcare & Life Sciences 

  • AI for Healthcare Diagnostics 
  • Healthcare Applications of AI 
  • Precision Medicine 
  • AI in Drug Discovery 
  • AI in Genomics 
  • AI in Mental Health 
  • Agriculture, Environment, & Sustainability 

  • Agricultural Applications of AI 
  • AI in Agricultural Optimization 
  • AI in Autonomous Agriculture 
  • AI for Climate Change 
  • AI for Sustainable Development 
  • AI in Renewable Energy 
  • AI in Smart Grids 
  • AI in Wildlife Conservation 
  • Energy Applications of AI 
  • Business, Industry, & Economic Applications 

  • Business Applications of AI 
  • Finance Applications of AI 
  • Manufacturing Applications of AI 
  • AI in Supply Chain Management 
  • AI in Retail Analytics 
  • AI Planning & Forecasting 
  • AI for Cybersecurity 
  • Creative, Cultural, & Media Applications 

  • AI and Creativity 
  • AI in Content Creation 
  • AI in Music Composition 
  • AI in Fashion Design 
  • AI in Art Restoration 
  • AI in Cultural Heritage Preservation 
  • AI in Video Games 
  • Smart Systems, Cities, & Mobility 

  • Autonomous Vehicles 
  • AI for Disaster Response 
  • Multi-Agent Systems 
  • Smart Cities 
  • Submission Procedure

    Researchers and practitioners are invited to submit an article proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed article. Authors will be notified about the status of their proposals and sent article guidelines. Full articles of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted, 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 articles will be reviewed on a double-anonymized review basis. All manuscripts are accepted based on a double-anonymized peer review editorial process.

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

    No Publishing Fees

    Note: As a traditional, non-open access publication, there are no publication fees, however, it will be mandatory for contributors to support their fellow colleagues by serving as a peer reviewer for this project for at least 2-3 articles in order to allow all article manuscripts to benefit from the full double-anonymized peer review process. This will ensure the highest level of integrity and quality for the publication. All contributors will receive authorship and reviewer credit (are able to link their contribution(s) to their ORCID profile, etc. and can also request a letter recognizing their participation in this project as well as full access to their published article.

    Publisher

    This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing 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 2027.

    Indexing Information for Prospective Authors

    IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

    Important Dates

    Following a thorough double-anonymized peer review process, Contributors can expect a first decision in roughly 30 days. Once the manuscript has been formally accepted by the Editor and meets all submission, quality, and ethical standards, it can be published in as little as 3 to 5 days.

    Inquiries

    Mehdi Khosrow-Pour, D.B.A., Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA

    All inquiries should be sent to: encyclopedia@igi-global.com

    Thank you for your interest in this publication!
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