Explainable AI Within the Digital Transformation and Cyber Physical Systems : XAI Methods and Applications

Language: English

Published by Springer, 2022

3030764117 / 9783030764111

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Druck auf Anfrage Neuware - Printed after ordering - This book presents Explainable Artificial Intelligence (XAI), which aims at producing explainable models that enable human users to understand and appropriately trust the obtained results. The authors discuss the challenges involved in making machine learning-based AI explainable. Firstly, that the explanations must be adapted to different stakeholders (end-users, policy makers, industries, utilities etc.) with different levels of technical knowledge (managers, engineers, technicians, etc.) in different application domains. Secondly, that it is important to develop an evaluation framework and standards in order to measure the effectiveness of the provided explanations at the human and the technical levels. This book gathers research contributions aiming at the development and/or the use of XAI techniques in order to address the aforementioned challenges in different applications such as healthcare, finance, cybersecurity, and document summarization. It allows highlighting the benefitsand requirements of using explainable models in different application domains in order to provide guidance to readers to select the most adapted models to their specified problem and conditions.Includes recent developments of the use of Explainable Artificial Intelligence (XAI) in order to address the challenges of digital transition and cyber-physical systems;Provides a textual scientific description of the use of XAI in order to address the challenges of digital transition and cyber-physical systems;Presents examples and case studies in order to increase transparency and understanding of the methodological concepts.

Seller Inventory # 9783030764111

Title
Explainable AI Within the Digital Transformation and Cyber Physical Systems : XAI Methods and Applications
Author
Moamar Sayed-Mouchaweh
Publisher
Springer
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030764117
ISBN 13
9783030764111
Item weight
324 grams
Dimensions
235x155x12 mm

AHA-BUCH GmbH

Einbeck, Germany

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