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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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發(fā)表于 2025-3-21 19:54:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Explainable Artificial Intelligence
副標(biāo)題First World Conferen
編輯Luca Longo
視頻videohttp://file.papertrans.cn/320/319289/319289.mp4
叢書(shū)名稱(chēng)Communications in Computer and Information Science
圖書(shū)封面Titlebook: Explainable Artificial Intelligence; First World Conferen Luca Longo Conference proceedings 2023 The Editor(s) (if applicable) and The Auth
描述This three-volume set constitutes the refereed proceedings of the?First World Conference on Explainable Artificial Intelligence, xAI 2023, held 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, methods and techniques for xAI, Causality and Explainable AI;?Explainable AI in Finance, cybersecurity, health-care and biomedicine..Part II: Surveys, benchmarks, visual representations and applications for xAI;?xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks;?Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems..Part III:?xAI for time series and Natural Language Processing;?Human-centered explanations and xAI for Trustworthy and Responsible AI;?Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI..
出版日期Conference proceedings 2023
關(guān)鍵詞artificial intelligence; interpretable machine learning; causal inference & explanations; argumentative
版次1
doihttps://doi.org/10.1007/978-3-031-44064-9
isbn_softcover978-3-031-44063-2
isbn_ebook978-3-031-44064-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Li-Rong Yu,Van M. Hoang,Timothy D. Veenstray acts concern the speaker’s intended meaning, perlocutionary acts refer to the listener’s reaction, and locutionary acts are about the speech act itself. We suggest a new way to categorise established definitions of explanation based on these speech act principles. This method enhances our grasp of
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Trichotillomania (Hair-Pulling Disorder ),butions are susceptible to adversarial attacks. This originates from target function evaluations at extrapolated data points, which are easily detectable and hence, enable models to behave accordingly. In this paper, we introduce a novel strategy for increased robustness against adversarial attacks
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The Plenum Series in Crime and Justiceesults beyond their decisions. A significant goal of XAI is to improve the performance of AI models by providing explanations for their decision-making processes. However, most XAI literature focuses on how to explain an AI system, while less attention has been given to how XAI methods can be exploi
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