Artificial Intelligence

Technical and Societal Advancements
1. Auflage 2024
ISBN: 978-1-032-77522-7
Verlag: CRC Press

Buch, Englisch, 348 Seiten, Format (B × H): 158 mm x 238 mm, Gewicht: 644 g

Reihe: Artificial Intelligence for Sustainable Engineering and Management

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 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.

Zielgruppe

General, Postgraduate, Professional Reference, Undergraduate Advanced, and Undergraduate Core

Autoren/Hrsg.

Kose, Utku

Demirezen, M Umut

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

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

Über Autor(innen)

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.