Showing 1–20 of 31 results
/ Date/ Name
Apr 19, 2023Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual FairnessAug 16, 2020Interpretable Representations in Explainable AI: From Theory to PracticeMay 4, 2020LIMEtree: Consistent and Faithful Surrogate Explanations of Multiple ClassesFeb 24, 2025All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic UncertaintySep 20, 2019FACE: Feasible and Actionable Counterfactual ExplanationsSep 8, 2022What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic ComponentsSep 8, 2023Counterfactual Explanations via Locally-guided Sequential Algorithmic RecourseAug 14, 2022Simply Logical -- Intelligent Reasoning by Example (Fully Interactive Online Edition)Feb 7, 2023Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of CommunicationJun 5, 2025Artificial Intelligence Should Genuinely Support Clinical Reasoning and Decision Making To Bridge the Translational GapMar 1, 2025Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAIAug 20, 2025Diversity-Augmented Negative Sampling for Implicit Collaborative FilteringSep 8, 2022FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive SystemsOct 14, 2022Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019--2020 Australian Bushfires Case StudyDec 11, 2019Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable ApproachesSep 15, 2023Comprehension Is a Double-Edged Sword: Over-Interpreting Unspecified Information in Intelligible Machine Learning ExplanationsJul 2, 2021You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single SourceSep 11, 2019FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and TransparencyJul 11, 2022How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness StrategiesSep 19, 2024Counterfactual Explanations for Clustering Models