Artificial Intelligence: Technical and Societal Advancements

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, 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 by researchers and experts (from public/private sector) including educators, lawyers, policymakers, managers, and business-related representatives.

The target reader of this book includes academicians, researchers, experts, policymakers, 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.

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.