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Principles of Explainable Artificial Intelligence
2021The last decade has witnessed the rise of a black box society where obscure classification models are adopted by Artificial Intelligence systems (AI). The lack of explanations of how AI systems make decisions is a key ethical issue to their adoption in socially sensitive and safety-critical contexts.
Guidotti, R. +3 more
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Explainable Artificial Intelligence: An Updated Perspective
2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO), 2022Artificial intelligence has become mainstream and its applications will only proliferate. Specific measures must be done to integrate such systems into society for the general benefit. One of the tools for improving that is explainability which boosts trust and understanding of decisions between humans and machines.
Agneza Krajna +3 more
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Explainable Artificial Intelligence
2023The explainability of artificial intelligence (AI) is one of the central challenges for the wider use of the new technology in many industries and applications. The more powerful and efficient the algorithms of AI work, the less it is usually comprehensible to users.
Zhixin Pan, Prabhat Mishra
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Explainable Artificial Intelligence for Cybersecurity
Computers and Electrical Engineering, 2022Deepak Kumar Sharma +5 more
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Uncertainty in Explainable Artificial Intelligence
Künstliche Intelligenz (KI) wird heutzutage in vielen Bereichen der Wissenschaft, Industrie und Gesellschaft eingesetzt, was zu erheblichen Fortschritten in diesen Domänen geführt hat. KI-Modelle werden aber immer komplexer und ihre inneren Entscheidungsprozesse sind immer schwieriger zu verstehen.openaire +2 more sources
Chatbots and Explainable Artificial Intelligence
2022 IEEE International Symposium on Technology and Society (ISTAS), 2022Marcus Wigan +4 more
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Explainable Artificial Intelligence: Requirements for Explainability
Proceedings of the 2022 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2022openaire +1 more source
Notions of explainability and evaluation approaches for explainable artificial intelligence
Information Fusion, 2021Luca Longo, Giulia Vilone
exaly
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Medical Image Analysis, 2022Hugo J. Kuijf +2 more
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