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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 ...
Choi, J. +5 more
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Explainable Artificial Intelligence in education
Computers and Education: Artificial Intelligence, 2022 There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms.
Hassan Khosravi +9 more
doaj +4 more sources
Survey on explainable knowledge graph reasoning methods
网络与信息安全学报, 2022 In recent years, deep learning models have achieved remarkable progress in the prediction and classification tasks of artificial intelligence systems.However, most of the current deep learning models are black box, which means it is not conducive to ...
Yi XIA +5 more
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Discovering Themes in Deep Brain Stimulation Research Using Explainable Artificial Intelligence
Biomedicines, 2023 Deep brain stimulation is a treatment that controls symptoms by changing brain activity. The complexity of how to best treat brain dysfunction with deep brain stimulation has spawned research into artificial intelligence approaches. Machine learning is a
Ben Allen
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Unlocking the Potential of Explainable Artificial Intelligence in Remote Sensing Big Data
Remote Sensing, 2023 In the ever-evolving landscape of artificial intelligence and big data, the concept of explainable artificial intelligence (XAI) [...]
Peng Liu, Lizhe Wang, Jun Li
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Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps [PDF]
, 2020 With advances in reinforcement learning (RL), agents are now being developed in high-stakes application domains such as healthcare and transportation.
Amir, Ofra +3 more
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Cogent Engineering, 2023 Stroke presents a formidable global health threat, carrying significant risks and challenges. Timely intervention and improved outcomes hinge on the integration of Explainable Artificial Intelligence (XAI) into medical decision-making.
Daraje Kaba Gurmessa, Worku Jimma
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Exploring Explainable Artificial Intelligence for Transparent Decision Making [PDF]
E3S Web of Conferences, 2023 Artificial intelligence (AI) has become a potent tool in many fields, allowing complicated tasks to be completed with astounding effectiveness. However, as AI systems get more complex, worries about their interpretability and transparency have become ...
Praveenraj D. David Winster +6 more
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The Pragmatic Turn in Explainable Artificial Intelligence (XAI) [PDF]
, 2019 In this paper I argue that the search for explainable models and interpretable decisions in AI must be reformulated in terms of the broader project of offering a pragmatic and naturalistic account of understanding in AI.
Páez, Andrés
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A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Informatics in Medicine Unlocked, 2022 Several Artificial Intelligence-based models have been developed for COVID-19 disease diagnosis. In spite of the promise of artificial intelligence, there are very few models which bridge the gap between traditional human-centered diagnosis and the ...
Mehrdad Rostami, Mourad Oussalah
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