Results 11 to 20 of about 27,865 (256)
Editorial: Explainable artificial intelligence
Frontiers in Computer Science, 2023 Chathurika S. Wickramasinghe +2 more
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Explainable & Safe Artificial Intelligence in Radiology
Journal of the Korean Society of RadiologyArtificial intelligence (AI) is transforming radiology with improved diagnostic accuracy and efficiency, but prediction uncertainty remains a critical challenge.
Synho Do
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XAI—Explainable artificial intelligence [PDF]
Science Robotics, 2019 Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.
David Gunning +5 more
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Explainable artificial intelligence: an analytical review [PDF]
WIREs Data Mining and Knowledge Discovery, 2021 AbstractThis paper provides a brief analytical review of the current state‐of‐the‐art in relation to the explainability of artificial intelligence in the context of recent advances in machine learning and deep learning. The paper starts with a brief historical introduction and a taxonomy, and formulates the main challenges in terms of explainability ...
Plamen P. Angelov +4 more
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Explainable artificial intelligence: A survey
2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2018 In the last decade, with availability of large datasets and more computing power, machine learning systems have achieved (super)human performance in a wide variety of tasks. Examples of this rapid development can be seen in image recognition, speech analysis, strategic game planning and many more. The problem with many state-of-the-art models is a lack
Filip Karlo Dosilovic +2 more
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Explainable Artificial Intelligence in CyberSecurity: A Survey
IEEE Access, 2022 Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being’s daily life. Despite the AI benefits, its application suffers from the opacity of complex internal mechanisms and doesn’t satisfy by design the principles of Explainable Artificial Intelligence (XAI).
Capuano N. +3 more
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Artificial Intelligence Explained for Nonexperts
Seminars in Musculoskeletal Radiology, 2020 AbstractArtificial intelligence (AI) has made stunning progress in the last decade, made possible largely due to the advances in training deep neural networks with large data sets. Many of these solutions, initially developed for natural images, speech, or text, are now becoming successful in medical imaging.
Narges, Razavian +2 more
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Towards Explainable Artificial Intelligence [PDF]
, 2019 In recent years, machine learning (ML) has become a key enabling technology for the sciences and industry. Especially through improvements in methodology, the availability of large databases and increased computational power, today's ML algorithms are able to achieve excellent performance (at times even exceeding the human level) on an increasing ...
Wojciech Samek, Klaus-Robert Müller
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A Review of Explainable Artificial Intelligence
, 2021 Artificial intelligence developed rapidly, while people are increasingly concerned about internal structure in machine learning models. Starting from the definition of interpretability and historical process of interpretability model, this paper summarizes and analyzes the existing interpretability methods according to the two dimensions of model type ...
Kuo-Yi Lin +3 more
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Research Progress of Interpretable Artificial Intelligence [PDF]
Jisuanji gongchengArtificial intelligence has made remarkable progress across many fields, encouraging countries to attach great importance to its research and development.
LIAO Yong, HAN Xiaojin, LIU Jinlin, WANG Hao
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