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Explainable AI Within the Digital Transformation and Cyber Physical Systems - XAI Methods and Applications (Hardcover, 1st ed. 2021)
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Explainable AI Within the Digital Transformation and Cyber Physical Systems - XAI Methods and Applications (Hardcover, 1st ed. 2021)
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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 benefits and 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.
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