If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques

26 February 2021

Papers citing "If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques"

37 / 37 papers shown

Title
When Counterfactual Reasoning Fails: Chaos and Real-World Complexity Yahya Aalaila Gerrit Großmann Sumantrak Mukherjee Jonas Wahl Sebastian Vollmer CML LRM 59 0 0 31 Mar 2025
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR Laura State Alejandra Bringas Colmenarejo Andrea Beretta Salvatore Ruggieri Franco Turini Stephanie Law AILaw ELM 41 0 0 10 Jan 2025
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments M. Domnich Julius Valja Rasmus Moorits Veski Giacomo Magnifico Kadi Tulver Eduard Barbu Raul Vicente LRM ELM 42 2 0 28 Oct 2024
Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals Gregory Yampolsky Dhruv Desai Mingshu Li Stefano Pasquali Dhagash Mehta 31 4 0 13 Aug 2024
Misfitting With AI: How Blind People Verify and Contest AI Errors Rahaf Alharbi P. Lor Jaylin Herskovitz S. Schoenebeck Robin Brewer 33 10 0 13 Aug 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests Susanne Dandl Kristin Blesch Timo Freiesleben Gunnar Konig Jan Kapar B. Bischl Marvin N. Wright AAML 32 5 0 04 Apr 2024
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides? Saugat Aryal Mark T. Keane 32 4 0 01 Mar 2024
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies Audrey Der Chin-Chia Michael Yeh Yan Zheng Junpeng Wang Zhongfang Zhuang Liang Wang Wei Zhang Eamonn J. Keogh AI4TS 43 2 0 16 Jan 2024
Natural Example-Based Explainability: a Survey Antonin Poché Lucas Hervier M. Bakkay XAI 26 11 0 05 Sep 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 46 2 0 13 Jul 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry Kacper Sokol E. Small Yueqing Xuan 32 5 0 05 Jun 2023
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 30 1 0 29 May 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals Greta Warren Markt. Keane Christophe Guéret Eoin Delaney 26 13 0 16 Mar 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 40 3 0 07 Feb 2023
Explaining Classifications to Non Experts: An XAI User Study of Post Hoc Explanations for a Classifier When People Lack Expertise Courtney Ford Markt. Keane 27 11 0 19 Dec 2022
Clarity: an improved gradient method for producing quality visual counterfactual explanations Claire Theobald Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro Amedeo Napoli BDL 33 0 0 22 Nov 2022
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems Silvan Mertes Christina Karle Tobias Huber Katharina Weitz Ruben Schlagowski Elisabeth André 21 12 0 19 Jul 2022
Attribution-based Explanations that Provide Recourse Cannot be Robust H. Fokkema R. D. Heide T. Erven FAtt 44 18 0 31 May 2022
Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting Ulrike Kuhl André Artelt Barbara Hammer 32 24 0 11 May 2022
"If it didn't happen, why would I change my decision?": How Judges Respond to Counterfactual Explanations for the Public Safety Assessment Yaniv Yacoby Ben Green Christopher L. Griffin Finale Doshi Velez 19 16 0 11 May 2022
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning Ulrike Kuhl André Artelt Barbara Hammer 27 17 0 06 May 2022
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI Greta Warren Mark T. Keane R. Byrne CML 27 22 0 21 Apr 2022
Enriching Artificial Intelligence Explanations with Knowledge Fragments Jože M. Rožanec Elena Trajkova I. Novalija Patrik Zajec K. Kenda B. Fortuna Dunja Mladenić 26 9 0 12 Apr 2022
Finding Counterfactual Explanations through Constraint Relaxations Sharmi Dev Gupta Begum Genc Barry O'Sullivan 24 3 0 07 Apr 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications Jovze M. Rovzanec I. Novalija Patrik Zajec K. Kenda Hooman Tavakoli ... G. Sofianidis Spyros Theodoropoulos Blavz Fortuna Dunja Mladenić John Soldatos 3DV AI4CE 32 119 0 21 Mar 2022
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation M. Temraz Markt. Keane 21 42 0 05 Nov 2021
Counterfactual Shapley Additive Explanations Emanuele Albini Jason Long Danial Dervovic Daniele Magazzeni 26 49 0 27 Oct 2021
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act Francesco Sovrano Salvatore Sapienza M. Palmirani F. Vitali 14 17 0 21 Oct 2021
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability Francesco Sovrano F. Vitali 29 30 0 11 Sep 2021
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms Yanou Ramon T. Vermeire Olivier Toubia David Martens Theodoros Evgeniou 18 10 0 06 Jul 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 26 184 0 15 May 2021
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations Barry Smyth Mark T. Keane CML 37 26 0 22 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 65 83 0 11 Jan 2021
GeCo: Quality Counterfactual Explanations in Real Time Maximilian Schleich Zixuan Geng Yihong Zhang D. Suciu 46 61 0 05 Jan 2021
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 55 93 0 05 Mar 2020
BRPO: Batch Residual Policy Optimization Kentaro Kanamori Yinlam Chow Takuya Takagi Hiroki Arimura Honglak Lee Ken Kobayashi Craig Boutilier OffRL 136 46 0 08 Feb 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017