1st Edition

Artificial Intelligence Technical and Societal Advancements

Edited By Utku Kose, Mustafa Umut Demirezen Copyright 2025
    392 Pages 61 B/W Illustrations
    by CRC Press

    This book provides an examination of cutting-edge research and developments in the field of Artificial Intelligence. It seeks to extend the view in both technical and societal evaluations to ensure a well-defined balance for societal outcomes. It explores hot topics such as Generative Artificial Intelligence, Artificial Intelligence in Law, Education and Climate Change.

    Artificial Intelligence: Technical and Societal Advancements seeks to bridge the gap between theory and practical applications of AI by giving readers insight into recent advancements. It offers readers a deep dive into the transformative power of AI for the present and future world. As Artificial Intelligence continues to revolutionize various sectors, the book discusses applications from healthcare to finance, from entertainment to industrial areas. It discusses the technical aspects of intelligent systems and the effects of these aspects on humans. To this point, the book considers technical advancements while discussing the societal pros and cons in terms of human-machine interaction in critical applications. The authors also stress the importance of deriving policies and predictions about how to make future intelligent systems compatible with humans through a necessary level of human management. Finally, the book provides the opinions and views by researchers and experts (from public/private sector) including educators, lawyers, policy makers, managers, and business-related representatives.

    The target reader of this book includes academicians, researchers, experts, policy makers, educators, and B.S., M.S., PhD. students in the context of target problem fields. It can be used accordingly as a reference source and even supportive material for Artificial Intelligence-oriented courses.

    Chapter 1- Advancements in Remote Sensing of the Cryosphere in Polar Regions: Contributions of Artificial Intelligence Techniques Over the Last Decade

    Chapter 2- An Empirical Study on Climate Change Using Geospatial Artificial Intelligence: Analysis of Particulate Matter 2.5

    Chapter 3- Artificial Intelligence in Gaming

    Chapter 4- Artificial Intelligence in Education and Its Applications in The World - Measurement and Assessment

    Chapter 5- Positioning AI in Creative Industries: Challenges and Opportunities for Workforce

    Chapter 6- Dynamical Systems and Artificial Intelligence

    Chapter 7- Emerging Technologies and Power Asymmetry in International System: An Analysis over Artificial Intelligence

    Chapter 8- Looking at Artificial Intelligence (AI) From Social Relations: Social Influence, Conformity and Bias

    Chapter 9- Legal Aspects of Artificial Intelligence in Health: An Overview under Turkish and Comparative Law

    Chapter 10- GPT Based Audience Attention and Emotion Analysis

    Chapter 11- Artificial Intelligence and Patent Law: Patent Applications for DABUS

    Chapter 12- Combining Blockchain and AI: The Two Disruptive Technology Cooperation Reshaping the New Era

    Chapter 13- The Transformative Role of Artificial Intelligence in Finance and Economics

    Chapter 14- Ex Machine, Next Machine, Still Biased Machine

    Chapter 15- Artificial Intelligence in Education: Transformation and Opportunities

    Chapter 16- Artificial Intelligence in Nuclear Physics and Its Worldwide Applications

    Chapter 17- In Vitro Fertilization and Artificial Intelligence

    Chapter 18- Towards Automatic Cybertroll Detection in Social Media: A Transformer-Based Framework

    Chapter 19- Assessment of Various Deep Learning Algorithms' Performance in Forecasting Stock Market Prices

    Chapter 20- Artificial Intelligence Patentability Criteria of Countries and Country-Based Artificial Intelligence Statistics

    Chapter 21- Artificial Intelligence in the World Energy Outlook


    Dr. Utku Kose received the B.S. degree in 2008 from computer education of Gazi University, Turkey as a faculty valedictorian. He received M.S. degree in 2010 from Afyon Kocatepe University, Turkey in the field of computer and D.S. / Ph. D. degree in 2017 from Selcuk University, Turkey in the field of computer engineering. Between 2009 and 2011, he has worked as a Research Assistant in Afyon Kocatepe University. He is a Visiting Researcher at the University of North Dakota, USA and Associate Professor in Suleyman Demirel University, Turkey. His research interest includes artificial intelligence, machine ethics, artificial intelligence safety, biomedical applications, optimization, the chaos theory, distance education, e-learning, computer education, and computer science.

    Dr. Mustafa Umut Demirezen received B.S., M.Sc., and Ph.D. degrees in electrical and electronics engineering from Gazi University in 2000, 2002, and 2015, respectively. Since 2023, he has been with the Department of Data Products, UDemy Inc., as the Senior Manager of Machine Learning Engineering. He also holds the title of Associate Professor. His research interests include artificial intelligence, deep learning, neuromorphic computing, spiking neural networks, scientific machine learning, and physics-informed neural networks.