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Kacper Sokol

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Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse

Sep 08, 2023
Edward A. Small, Jeffrey N. Clark, Christopher J. McWilliams, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Raul Santos-Rodriguez

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Navigating Explanatory Multiverse Through Counterfactual Path Geometry

Jun 05, 2023
Kacper Sokol, Edward Small, Yueqing Xuan

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(Un)reasonable Allure of Ante-hoc Interpretability for High-stakes Domains: Transparency Is Necessary but Insufficient for Explainability

Jun 04, 2023
Kacper Sokol, Julia E. Vogt

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Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness

Apr 19, 2023
Edward A. Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan

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More Is Less: When Do Recommenders Underperform for Data-rich Users?

Apr 15, 2023
Yueqing Xuan, Kacper Sokol, Jeffrey Chan, Mark Sanderson

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Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations

Mar 02, 2023
Edward Small, Yueqing Xuan, Danula Hettiachchi, Kacper Sokol

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Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication

Feb 07, 2023
Bernard Keenan, Kacper Sokol

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What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components

Sep 08, 2022
Kacper Sokol, Alexander Hepburn, Raul Santos-Rodriguez, Peter Flach

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FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems

Sep 08, 2022
Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raul Santos-Rodriguez, Peter Flach

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Simply Logical -- Intelligent Reasoning by Example (Fully Interactive Online Edition)

Aug 14, 2022
Peter Flach, Kacper Sokol

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