Titlebook: Jane Lead and her Transnational Legacy; Ariel Hessayon Book 2016 The Editor(s) (if applicable) and The Author(s) 2016 Esoteric Christianit

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Ariel Hessayonht glycemic control, both in terms of glycated hemoglobin and the time in range, with different metabolic pathways that contribute to nervous, micro, and macro-vascular complications. As a matter of fact, a few works attempted to obtain phenotyping to describe the evolution of type 2 diabetes patien

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Amanda L. Capern real-world and mission-critical problems in a wide range of domains such as finance, healthcare, security, natural language processing, transportation, military, and retail. However, the importance of interpretable and explainable decision-making processes within AI-based systems is becoming crucia

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Warren Johnstonin both analytics and application of intelligent transportat.Transportation typically entails crucial “l(fā)ife-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligen

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Stefania Salvadoriore effective models. Since any machine learning model is built from the data, understanding the content on which the model is based is imperative for explainability and interpretability. Many of these techniques that summarize, visualize, and explore data have existed for a long time. There have be

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Lucinda Martineligible for being applied in several contexts where interpretability is a major issue and humans may profit from a self-explanatory form of automatic computation. However, fuzzy systems are not interpretable . and the simple adoption of a natural language representation does not guarantee full acce

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Lionel Laborietegration of intelligent systems in the human society. Explainable Artificial Intelligence can find successful application in a plethora of contexts, endowing classical intelligent systems with a crucial added value: the possibility for users to interact with machines, validate their results and ult

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Philip Lockley. This suggests that the human and the robot share a common vocabulary that can be used to describe the model. However, this cannot be guaranteed unless the robots are using models that are specified by an expert. Since many of the modern AI systems rely on learned models, they may use representatio

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vantages, it has also brought the term data control to the agenda with controlling data and the ability to grow infinitely. By digitalization, the increase in online applications, which became widespread after the pandemic, both in science and in the business world, has also increased the amount of