Explainable Ambient Intelligence (XAmI): Explainable Artificial Intelligence Applications in Smart Life (SpringerBriefs in Applied Sciences and Technology)

Explainable Ambient Intelligence (XAmI): Explainable Artificial Intelligence Applications in Smart Life (SpringerBriefs in Applied Sciences and Technology)
by: Tin-Chih Toly Chen (Author)
Publisher: Springer
Edition: 2024th
Publication Date: 15 Mar. 2024
Language: English
Print Length: 115 pages
ISBN-10: 3031549341
ISBN-13: 9783031549342
Book Description
This book systematically reviews the progress of Explainable Ambient Intelligence (XAmI) and introduces its methods, tools, and applications.Ambient intelligence (AmI) is a vision in which an environment supports the people inhabiting it in an unobtrusive, interconnected, adaptable, dynamic, embedded, and intelligent way. So far, artificial intelligence (AI) technologies have been widely applied in AmI. However, some advanced AI methods are not easy to understand or communicate, especially for users with insufficient background knowledge of AI, which undoubtedly limits the practicability of these methods. To address this issue, explainable AI (XAI) has been considered a viable strategy. Although XAI technologies and tools applied in other fields can also be applied to explain AI technology applications in AmI, users should be the main body in the application of AmI, which is slightly different from the application of AI technologies in other fields. This book containsreal case studies of the application of XAml and is a valuable resource for students and researchers.

About the Author

From the Back Cover This book systematically reviews the progress of Explainable Ambient Intelligence (XAmI) and introduces its methods, tools, and applications.Ambient intelligence (AmI) is a vision in which an environment supports the people inhabiting it in an unobtrusive, interconnected, adaptable, dynamic, embedded, and intelligent way. So far, artificial intelligence (AI) technologies have been widely applied in AmI. However, some advanced AI methods are not easy to understand or communicate, especially for users with insufficient background knowledge of AI, which undoubtedly limits the practicability of these methods. To address this issue, explainable AI (XAI) has been considered a viable strategy. Although XAI technologies and tools applied in other fields can also be applied to explain AI technology applications in AmI, users should be the main body in the application of AmI, which is slightly different from the application of AI technologies in other fields. This book contains real case studies of the application of XAml and is a valuable resource for students and researchers. About the Author Dr. Tin-Chih Toly Chen has guest edited several special issues on AmI and AI for journals including Journal of Ambient Intelligence and Humanized Computing, Health Care Management Science, Fuzzy Sets and Systems, Operations Research, and International Journal of Intelligent Systems. He has also published papers on AI applications to AmI in journals such as Journal of Ambient Intelligence and Humanized Computing, Health Care Management Science, Operations Research, Digital Health, Complex & Intelligent Systems, etc.