Artificial Intelligence: Technical and Societal Advancements
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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 and from entertainment to industrial areas. It discusses the technical aspects of intelligent systems and the effects of these aspects on humans. To this point, this 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, this book provides the opinions and views of researchers and experts (from public/private sector) including educators, lawyers, policymakers, managers, and business-related representatives.
The target readers of this book include academicians; researchers; experts; policymakers; educators; and B.S., M.S., and Ph.D. 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.
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Dr. Utku Kose received a B.S. degree in computer education from Gazi University, Turkey, as a faculty valedictorian in 2008. He received an M.S. degree in computer education from Afyon Kocatepe University, Turkey, in 2010 and a D.S./Ph.D. degree in computer engineering from Selcuk University, Turkey, in 2017. Between 2009 and 2011, he worked as a Research Assistant at Afyon Kocatepe University. He is a Visiting Researcher at the University of North Dakota, USA, and an Associate Professor at Suleyman Demirel University, Turkey. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, biomedical applications, optimization, 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.
