- Why do We Need to Employ Exemplars in Moral Education? Insights from Recent Advances in Research on Artificial Intelligence.Hyemin Han - forthcoming - Ethics and Behavior.details
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Explanation Hacking: The perils of algorithmic recourse.E. Sullivan & Atoosa Kasirzadeh - forthcoming - In Juan Manuel Durán & Giorgia Pozzi (eds.), Philosophy of science for machine learning: Core issues and new perspectives. Springer.details
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Axe the X in XAI: A Plea for Understandable AI.Andrés Páez - forthcoming - In Juan Manuel Durán & Giorgia Pozzi (eds.), Philosophy of science for machine learning: Core issues and new perspectives. Springer.details
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G -LIME: Statistical learning for local interpretations of deep neural networks using global priors.Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen & Dejing Dou - 2023 - Artificial Intelligence 314 (C):103823.details
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Explainable Artificial Intelligence in Data Science.Joaquín Borrego-Díaz & Juan Galán-Páez - 2022 - Minds and Machines 32 (3):485-531.details
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Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making.Oskar Wysocki, Jessica Katharine Davies, Markel Vigo, Anne Caroline Armstrong, Dónal Landers, Rebecca Lee & André Freitas - 2023 - Artificial Intelligence 316 (C):103839.details
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Rationalizing predictions by adversarial information calibration.Lei Sha, Oana-Maria Camburu & Thomas Lukasiewicz - 2023 - Artificial Intelligence 315 (C):103828.details
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Explainable AI and Causal Understanding: Counterfactual Approaches Considered.Sam Baron - 2023 - Minds and Machines 33 (2):347-377.details
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“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems.Maria Riveiro & Serge Thill - 2021 - Artificial Intelligence 298:103507.details
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Defining Explanation and Explanatory Depth in XAI.Stefan Buijsman - 2022 - Minds and Machines 32 (3):563-584.details
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Human performance consequences of normative and contrastive explanations: An experiment in machine learning for reliability maintenance.Davide Gentile, Birsen Donmez & Greg A. Jamieson - 2023 - Artificial Intelligence 321 (C):103945.details
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Counterfactual explanations for misclassified images: How human and machine explanations differ.Eoin Delaney, Arjun Pakrashi, Derek Greene & Mark T. Keane - 2023 - Artificial Intelligence 324 (C):103995.details
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Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search.Tzu-Yi Chiu, Jerome Le Ny & Jean-Pierre David - 2023 - Artificial Intelligence 318 (C):103897.details
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