人工知能:技術と社会発展<br>Artificial Intelligence : Technical and Societal Advancements (Artificial Intelligence for Sustainable Engineering and Management)

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人工知能:技術と社会発展
Artificial Intelligence : Technical and Societal Advancements (Artificial Intelligence for Sustainable Engineering and Management)

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  • 製本 Hardcover:ハードカバー版/ページ数 330 p.
  • 言語 ENG
  • 商品コード 9781032775227
  • DDC分類 006.3

Full Description

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.

Contents

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

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