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If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
International Joint Conference on Artificial Intelligence (IJCAI), 2021
26 February 2021
Mark T. Keane
Eoin M. Kenny
Eoin Delaney
Barry Smyth
CML
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Papers citing
"If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques"
50 / 80 papers shown
CID: Measuring Feature Importance Through Counterfactual Distributions
Eddie Conti
Álvaro Parafita
Axel Brando
FAtt
CML
528
0
0
19 Nov 2025
Augmenting The Weather: A Hybrid Counterfactual-SMOTE Algorithm for Improving Crop Growth Prediction When Climate Changes
M. Temraz
Mark T Keane
123
0
0
14 Nov 2025
Not All Explanations are Created Equal: Investigating the Pitfalls of Current XAI Evaluation
Joe Shymanski
Jacob Brue
Sandip Sen
XAI
124
1
0
27 Sep 2025
Designing User-Centric Metrics for Evaluation of Counterfactual Explanations
Firdaus Ahmed Choudhury
Ethan Leicht
Jude Ethan Bislig
Hangzhi Guo
A. Yadav
ELM
191
0
0
20 Jul 2025
Predicting Satisfaction of Counterfactual Explanations from Human Ratings of Explanatory Qualities
M. Domnich
Rasmus Moorits Veski
Julius Valja
Kadi Tulver
Raul Vicente
FAtt
323
2
0
07 Apr 2025
When Counterfactual Reasoning Fails: Chaos and Real-World Complexity
Yahya Aalaila
Gerrit Großmann
Sumantrak Mukherjee
Jonas Wahl
Sebastian Vollmer
CML
LRM
485
1
0
31 Mar 2025
RobustX: Robust Counterfactual Explanations Made Easy
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Junqi Jiang
Luca Marzari
Aaryan Purohit
Francesco Leofante
CML
326
8
0
20 Feb 2025
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR
Artificial Intelligence and Law (AI & Law), 2025
Laura State
Alejandra Bringas Colmenarejo
Andrea Beretta
Salvatore Ruggieri
Franco Turini
Stephanie Law
AILaw
ELM
299
2
0
10 Jan 2025
Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off
Eoin M. Kenny
Julie A. Shah
378
2
0
12 Dec 2024
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers
Stephen McAleese
Mark Keane
327
5
0
04 Nov 2024
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
AAAI Conference on Artificial Intelligence (AAAI), 2024
M. Domnich
Julius Valja
Rasmus Moorits Veski
Giacomo Magnifico
Kadi Tulver
Eduard Barbu
Raul Vicente
LRM
ELM
525
9
0
28 Oct 2024
Evaluating the Influences of Explanation Style on Human-AI Reliance
Emma Casolin
Flora D. Salim
Ben Newell
278
1
0
26 Oct 2024
Evaluating Explanations Through LLMs: Beyond Traditional User Studies
Francesco Bombassei De Bona
Gabriele Dominici
Tim Miller
Marc Langheinrich
M. Gjoreski
297
6
0
23 Oct 2024
Understanding with toy surrogate models in machine learning
Andrés Páez
SyDa
389
6
0
08 Oct 2024
Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare
Antonio Rago
Bence Palfi
Purin Sukpanichnant
Hannibal Nabli
Kavyesh Vivek
Olga Kostopoulou
James Kinross
Francesca Toni
483
4
0
30 Aug 2024
Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals
Gregory Yampolsky
Dhruv Desai
Mingshu Li
Stefano Pasquali
Dhagash Mehta
220
5
0
13 Aug 2024
Misfitting With AI: How Blind People Verify and Contest AI Errors
International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2024
Rahaf Alharbi
P. Lor
Jaylin Herskovitz
S. Schoenebeck
Robin Brewer
262
47
0
13 Aug 2024
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
Patryk Wielopolski
Oleksii Furman
Łukasz Lenkiewicz
Jerzy Stefanowski
Maciej Ziȩba
442
6
0
27 May 2024
Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective
International Joint Conference on Artificial Intelligence (IJCAI), 2024
T. Tominaga
Naomi Yamashita
Takeshi Kurashima
288
3
0
23 May 2024
Why do explanations fail? A typology and discussion on failures in XAI
Clara Bove
Thibault Laugel
Marie-Jeanne Lesot
C. Tijus
Marcin Detyniecki
316
10
0
22 May 2024
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence
José Daniel Pascual-Triana
Alberto Fernández
Javier Del Ser
Francisco Herrera
333
3
0
20 May 2024
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers
Silvan Mertes
Tobias Huber
Christina Karle
Katharina Weitz
Ruben Schlagowski
Cristina Conati
Elisabeth André
309
1
0
08 May 2024
Explainable Interface for Human-Autonomy Teaming: A Survey
Xiangqi Kong
Yang Xing
Antonios Tsourdos
Ziyue Wang
Weisi Guo
Adolfo Perrusquía
Andreas Wikander
343
13
0
04 May 2024
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models
G. Guo
Lifu Deng
A. Tandon
Alex Endert
Bum Chul Kwon
368
9
0
24 Apr 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests
Susanne Dandl
Kristin Blesch
Timo Freiesleben
Gunnar Konig
Jan Kapar
J. Herbinger
Marvin N. Wright
AAML
357
10
0
04 Apr 2024
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI
International Conference on Human Factors in Computing Systems (CHI), 2024
Bálint Gyevnár
Stephanie Droop
Tadeg Quillien
Shay B. Cohen
Neil R. Bramley
Christopher G. Lucas
Stefano V. Albrecht
336
1
0
11 Mar 2024
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?
Saugat Aryal
Mark T. Keane
279
7
0
01 Mar 2024
Axe the X in XAI: A Plea for Understandable AI
Andrés Páez
280
2
0
01 Mar 2024
Explaining Learned Reward Functions with Counterfactual Trajectories
Jan Wehner
Frans Oliehoek
Luciano Cavalcante Siebert
196
0
0
07 Feb 2024
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics
Shahid Alam
Zeynep Altıparmak
406
10
0
04 Feb 2024
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
SDM (SDM), 2024
Audrey Der
Chin-Chia Michael Yeh
Yan Zheng
Junpeng Wang
Zhongfang Zhuang
Liang Wang
Wei Zhang
Eamonn J. Keogh
AI4TS
228
2
0
16 Jan 2024
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
Information Fusion (Inf. Fusion), 2023
Luca Longo
Mario Brcic
Federico Cabitza
Jaesik Choi
Roberto Confalonieri
...
Andrés Páez
Wojciech Samek
Johannes Schneider
Timo Speith
Simone Stumpf
611
478
0
30 Oct 2023
T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems
Yiming Li
Daling Wang
Wenfang Wu
Shi Feng
Yifei Zhang
CML
305
1
0
28 Sep 2023
Natural Example-Based Explainability: a Survey
Antonin Poché
Lucas Hervier
M. Bakkay
XAI
321
22
0
05 Sep 2023
Modifications of the Miller definition of contrastive (counterfactual) explanations
European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU), 2023
Kevin McAreavey
Weiru Liu
148
1
0
20 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Emanuele Albini
Sanjay Kariyappa
Saumitra Mishra
Danial Dervovic
Daniele Magazzeni
FAtt
316
5
0
13 Jul 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry
Machine-mediated learning (ML), 2023
Kacper Sokol
E. Small
Yueqing Xuan
489
7
0
05 Jun 2023
Reason to explain: Interactive contrastive explanations (REASONX)
Laura State
Salvatore Ruggieri
Franco Turini
LRM
391
3
0
29 May 2023
Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Giorgos Filandrianos
Edmund Dervakos
Orfeas Menis Mastromichalakis
Chrysoula Zerva
Giorgos Stamou
AAML
218
6
0
26 May 2023
Scientific Fact-Checking: A Survey of Resources and Approaches
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Juraj Vladika
Florian Matthes
HILM
370
72
0
26 May 2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Yilun Zhou
372
0
0
17 Mar 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
264
15
0
16 Mar 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
International Conference on Human Factors in Computing Systems (CHI), 2023
Zijie J. Wang
J. W. Vaughan
R. Caruana
Duen Horng Chau
HAI
446
29
0
27 Feb 2023
GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Tobias Huber
Maximilian Demmler
Silvan Mertes
Matthew Lyle Olson
Elisabeth André
354
25
0
24 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
M. Hashemi
Ali Darejeh
Francisco Cruz
472
4
0
07 Feb 2023
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Saugat Aryal
Markt. Keane
298
32
0
27 Jan 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
236
19
0
19 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ
Artificial Intelligence (AI), 2022
Eoin Delaney
A. Pakrashi
Derek Greene
Markt. Keane
332
27
0
16 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
298
1
0
22 Nov 2022
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations
Artificial Intelligence Applications and Innovations (AIAI), 2022
Sanjay Kariyappa
Alan H. Gee
Jette Henderson
Joydeep Ghosh
CML
BDL
LRM
255
5
0
12 Oct 2022
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