Results 11 to 20 of about 78,288 (166)
Editorial: Explainable artificial intelligence
Frontiers in Computer Science, 2023 Chathurika S. Wickramasinghe +2 more
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Explainable artificial intelligence
American Journal of Orthodontics and Dentofacial OrthopedicsThe increasing deployment of complex, learning-based artificial intelligence systems has heightened concerns regarding transparency, accountability, and trust, as improvements in predictive performance often come at the expense of interpretability. This chapter provides a structured, non-technical introduction to explainable artificial intelligence ...
Axel-Jan Rousseau +3 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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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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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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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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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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EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models
IEEE Access, 2023 The expansion of explainable artificial intelligence as a field of research has generated numerous methods of visualizing and understanding the black box of a machine learning model.
Ian E. Nielsen +4 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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