Overview
- comprises a comprehensive study on applications of deep learning techniques as solutions to different societal issues
- includes chapters on applications of AI in societal awareness for economic empowerment
- Provides a few chapters on applications of AI responses to COVID-19 management in rural areas
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 231)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Artificial intelligence (AI) has the potential to provide innovative solutions to various societal issues and real-world social challenges. AI is useful in combating some of the seemingly unsolvable social crises facing the world today. Be it disaster awareness and management or demand forecasting, or healthcare informatics or disease outbreaks like COVID-19, the AI plays a pivotal role everywhere. AI has the potential to address some of the societal issues that indirectly pose challenges like cybercrime, agriculture, education, economy, and health. The book covers several applications of AI as solutions to different societal issues, which include economic empowerment, smart education system, COVID-19 detection & management, emotion detection, fraudulent transactions, applications in agriculture and health informatics, etc. The book will be helpful for the academicians and researchers working with various areas of societal issues, data science, artificial intelligence, and machine learning.
Keywords
Table of contents (18 chapters)
-
Crime and Security
-
Agriculture and Education
-
Emotion and Mental Health
-
Healthcare Informatics and Management
Editors and Affiliations
Bibliographic Information
Book Title: Artificial Intelligence for Societal Issues
Editors: Anupam Biswas, Vijay Bhaskar Semwal, Durgesh Singh
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-031-12419-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-12418-1Published: 20 September 2023
Softcover ISBN: 978-3-031-12421-1Published: 20 September 2024
eBook ISBN: 978-3-031-12419-8Published: 19 September 2023
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XV, 356
Number of Illustrations: 39 b/w illustrations, 122 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Artificial Intelligence