Titlebook: Explainable AI Within the Digital Transformation and Cyber Physical Systems; XAI Methods and Appl Moamar Sayed-Mouchaweh Book 2021 The Edit

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Wieslawa Kaczor,Ma?gorzata Koter-Mórgowskacan help design tailored and just-in-time interventions. We demonstrate that the prediction performance provided by the transparent models is comparable to that of the other tested classification algorithms. We summarize several ways in which the constructed models can be used during and after the data collection.

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Principles of Explainable Artificial Intelligence,ssing which are the principles of XAI. In addition, we illustrate different types of explanations returned by established explainers. Finally, we discuss their usability and how they can be exploited in real-world applications.

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Science of Data: A New Ladder for Causation,ent domains and techniques such as logic, deep learning algorithms, and cognitive architectures. Furthermore, we will discuss a theoretical framework that integrates causality in the machine which is a crucial step toward creating explainable AI.

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