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Titlebook: Explainable Artificial Intelligence; First World Conferen Luca Longo Conference proceedings 2023 The Editor(s) (if applicable) and The Auth

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The Plenum Series in Crime and Justicerategies to use the explanation to improve a classification system are reported and empirically evaluated on three datasets: Fashion-MNIST, CIFAR10, and STL10. Results suggest that explanations built by Integrated Gradients highlight input features that can be effectively used to improve classification performance.
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https://doi.org/10.1007/978-1-4613-0933-8es the fidelity and stability of different methods, and shows how explanations that use contextual importance and contextual utility can provide more expressive and flexible explanations than when using influence only.
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https://doi.org/10.1007/978-1-4613-4045-4riables. In this work, we motivate the need to integrate the temporal dimension into causal algorithmic recourse methods to enhance recommendations’ plausibility and reliability. The experimental evaluation highlights the significance of the role of time in this field.
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XAI Requirements in Smart Production Processes: A Case Studyus associated expectations, as well as non-functional explainability requirements, we show how business-oriented XAI requirements can be formulated and prepared for integration into process design. This case study is a valuable resource for researchers and practitioners seeking better to understand the role of explainable AI in practice.
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The Importance of Time in Causal Algorithmic Recourseriables. In this work, we motivate the need to integrate the temporal dimension into causal algorithmic recourse methods to enhance recommendations’ plausibility and reliability. The experimental evaluation highlights the significance of the role of time in this field.
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1865-0929 eld in Lisbon, Portugal, in July 2023. .The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: ​.Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, me
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XAI Requirements in Smart Production Processes: A Case Studyms. This is often emphasized with respect to societal and developmental contexts, but it is also crucial within the context of business processes, including manufacturing and production. While this is widely recognized, there is a notable lack of practical examples that demonstrate how to take expla
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