2027

 
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Collective Monograph “Artificial Intelligence in Digital Society”The series of monographs “Artificial Intelligence in Digital Society” aims to bring together the existing theories and practices of artificial intelligence in the Western and Eastern worlds. The idea of synergy plays a central role in the monographs. The monographs in this series represent an attempt to integrate the experience accumulated in recent years and propose new solutions to the problems of using artificial intelligence. This series of monographs is an important resource for researchers, professors and graduate students, as well as practitioners and specialists in the field of artificial intelligence. 
 
CONTENTS
 
Introduction 
Iryna S. Pypenko
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 5
 
Part I. FOUNDATIONS AND EVOLUTION OF ARTIFICIAL INTELLIGENCE
Chapter 1. The Evolution of Artificial Intelligence in the Digital Society
Iryna S. Pypenko, Yuriy B. Melnyk
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Part II. REGULATION, ETHICS, AND THE FUTURE OF ARTIFICIAL INTELLIGENCE-DRIVEN TRANSFORMATION
Chapter 2. Knowledge Representation in Artificial Intelligence: Concepts, Evolution, Techniques, and Applications
Mohd Soperi M. Zahid, Hadrina Sh-Hussain
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Part V. STRATEGIES FOR TRAINING SPECIALISTS IN THE DIGITAL SOCIETY USING ARTIFICIAL INTELLIGENCE
Chapter 5. Convergence of Generative Algorithms and Academic Standards: A Strategy for Adaptive Transformation of Assessment Tools in Higher Education
Yuriy B. Melnyk, Iryna S. Pypenko
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Chapter 6. Transforming Higher Education in the Era of Generative AI: Balancing Academic Integrity, Assessment Redesign, and AI Literacy
Anatoliy V. Stadnik, Ulyana B. Mykhaylyshyn
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The monograph will be available in international scientometric databases,
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DOI: https://doi.org/10.26697/publisher