Overview
- Presents explainability in edge AI, an amalgamation of edge computing and AI
- Presents the fundamental concepts of explainable artificial intelligence (XAI)
- Describes the concept of explainable edge AI
Part of the book series: Studies in Computational Intelligence (SCI, volume 1072)
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About this book
This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. Explainable edge AI will facilitate enhanced prediction accuracy with the comprehensible decision and traceability of actions performed at the edge and have a significant impact on futuristic computing scenarios. This book is highly relevant to graduate/postgraduate students, academicians, researchers, engineers, professionals, and other personnel working in artificial intelligence, machine learning, and intelligent systems.
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Keywords
Table of contents (10 chapters)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Explainable Edge AI: A Futuristic Computing Perspective
Editors: Aboul Ella Hassanien, Deepak Gupta, Anuj Kumar Singh, Ankit Garg
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-031-18292-1
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: 978-3-031-18291-4Published: 11 November 2022
Softcover ISBN: 978-3-031-18294-5Published: 12 November 2023
eBook ISBN: 978-3-031-18292-1Published: 10 November 2022
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 181
Number of Illustrations: 15 b/w illustrations, 46 illustrations in colour