书目名称 | xxAI - Beyond Explainable AI | 副标题 | International Worksh | 编辑 | Andreas Holzinger,Randy Goebel,Wojciech Samek | 视频video | | 概述 | This book is open access, which means that you have free and unlimited access.Explainable AI (xAI) aims to create tools and models that are predictive, interpretable, understandable for humans.Topic r | 丛书名称 | Lecture Notes in Computer Science | 图书封面 |  | 描述 | This is an open access book..Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and models that are both predictive and interpretable and understandable for humans. ..Explainable AI is receiving huge interest in the machine learning and AI research communities, across academia, industry, and government, and there is now an excellent opportunity to push towards successful explainable AI applications. This volume will help the research community to accelerate this process, to promote a more systematic use of explainable AI to improve models in diverse applications, and ultimately to better understand how current explainable AI methods need to be improved and what kind of theory of explainable AI is needed...After overviews of current methods and challenges, the editors include chapters that describe new developments in explainable AI. The contribut | 出版日期 | Book‘‘‘‘‘‘‘‘ 2022 | 关键词 | Computer Science; Informatics; Conference Proceedings; Research; Applications; Open Access | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-04083-2 | isbn_softcover | 978-3-031-04082-5 | isbn_ebook | 978-3-031-04083-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 | issn_series | 0302-9743 | copyright | The Editor(s) (if applicable) and The Author(s) 2022 |
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