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Healthcare Analytics, 2023 Explainable artificial intelligence (XAI) tools are used to enhance the applications of existing artificial intelligence (AI) technologies by explaining their execution processes and results.
Yu-Cheng Wang +2 more
doaj +1 more source
Applied AI Letters, 2021 The DARPA Explainable Artificial Intelligence (AI) (XAI) Program focused on generating explanations for AI programs that use machine learning techniques. This article highlights progress during the DARPA Program (2017‐2021) relative to research since the
William J. Clancey, Robert R. Hoffman
doaj +1 more source
Levels of explainable artificial intelligence for human-aligned conversational explanations [PDF]
, 2021 Over the last few years there has been rapid research growth into eXplainable Artificial Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for this growth include recent legislative changes and increased investments
Cruz, Francisco +5 more
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Complex, 2021 Despite the growing popularity of machine learning models in the cyber-security applications (e.g., an intrusion detection system (IDS)), most of these models are perceived as a black-box.
Basim Mahbooba +3 more
semanticscholar +1 more source
AI-Assisted and Explainable Hate Speech Detection for Social Media Moderators – A Design Science Approach [PDF]
, 2021 To date, the detection of hate speech is still primarily carried out by humans, yet there is great potential for combining human expertise with automated approaches.
Enrico Bunde, Bunde, Enrico
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Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models
, 2022 The current era is characterized by an increasing pervasiveness of applications and services based on data processing and often built on Artificial Intelligence (AI) and, in particular, Machine Learning (ML) algorithms.
José Luis Corcuera Bárcena +6 more
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Review of Software Engineering Techniques and Methods Based on Explainable Artificial Intelligence [PDF]
Jisuanji kexue, 2023 In terms of information processing and decision-making,artificial intelligence(AI) methods have shown superior performance compared to traditional methods.However,when AI models are put into production,their output results are not guaranteed to be ...
XING Ying
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Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey [PDF]
IEEE Internet of Things Journal, 2022 Artificial intelligence (AI) and machine learning (ML) are widely employed to make the solutions more accurate and autonomous in many smart and intelligent applications in the Internet of Things (IoT).
Ibrahim Kök +3 more
semanticscholar +1 more source
Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence
Information, 2023 Stroke occurs when a brain’s blood artery ruptures or the brain’s blood supply is interrupted. Due to rupture or obstruction, the brain’s tissues cannot receive enough blood and oxygen. Stroke is a common cause of mortality among older people.
Susmita S +5 more
doaj +1 more source
Explainable Artificial Intelligence
This open access five-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2025, held in Istanbul, Turkey, during July 2025.
Longo, Luca +2 more
core +3 more sources