Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

1 November 2017

Papers citing "Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR"

40 / 40 papers shown

Title
Counterfactual Multi-player Bandits for Explainable Recommendation Diversification Yansen Zhang Bowei He Xiaokun Zhang Haolun Wu Zexu Sun Chen Ma 93 1 0 27 May 2025
Counterfactual Explanations for Continuous Action Reinforcement Learning Shuyang Dong Shangtong Zhang Lu Feng OffRL LRM 37 0 0 19 May 2025
Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR Sindre Benjamin Remman A. Lekkas 93 0 0 11 May 2025
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Pouria Fatemi Ehsan Sharifian Mohammad Hossein Yassaee 58 0 0 05 May 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations Indu Panigrahi Sunnie S. Y. Kim Amna Liaqat Rohan Jinturkar Olga Russakovsky Ruth C. Fong Parastoo Abtahi FAtt HAI 135 1 0 14 Apr 2025
Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals Sanyam Paresh Shah Abdullah Mamun Shovito Barua Soumma Hassan Ghasemzadeh 82 0 0 09 Apr 2025
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps Lukasz Sztukiewicz Ignacy Stepka Michał Wiliński Jerzy Stefanowski 95 0 0 28 Feb 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 361 1 0 28 Feb 2025
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach Antoine Ledent Peng Liu FAtt 205 0 0 20 Feb 2025
Counterfactual Explanations as Plans Vaishak Belle LRM 102 2 0 13 Feb 2025
Generating Causally Compliant Counterfactual Explanations using ASP Sopam Dasgupta CML 102 0 0 13 Feb 2025
Explaining 3D Computed Tomography Classifiers with Counterfactuals Joseph Paul Cohen Louis Blankemeier Akshay S. Chaudhari MedIm 360 1 0 11 Feb 2025
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Chhavi Yadav Evan Monroe Laufer Dan Boneh Kamalika Chaudhuri 106 0 0 06 Feb 2025
Natural Language Counterfactual Explanations for Graphs Using Large Language Models Flavio Giorgi Cesare Campagnano Fabrizio Silvestri Gabriele Tolomei LRM 76 2 0 28 Jan 2025
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models Melkamu Mersha Mesay Gemeda Yigezu Jugal Kalita ELM 143 4 0 26 Jan 2025
Faithful Counterfactual Visual Explanations (FCVE) Bismillah Khan Syed Ali Tariq Tehseen Zia Muhammad Ahsan David Windridge 48 0 0 12 Jan 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 95 16 0 10 Jan 2025
Citations and Trust in LLM Generated Responses Yifan Ding Matthew Facciani Amrit Poudel Ellen Joyce Salvador Aguiñaga Balaji Veeramani Sanmitra Bhattacharya Tim Weninger HILM 88 3 0 03 Jan 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer J. Herbinger FAtt 107 2 0 22 Dec 2024
Interpreting Language Reward Models via Contrastive Explanations Junqi Jiang Tom Bewley Saumitra Mishra Freddy Lecue Manuela Veloso 114 2 0 25 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 77 0 0 04 Nov 2024
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 53 4 0 28 Oct 2024
S-CFE: Simple Counterfactual Explanations Shpresim Sadiku Moritz Wagner Sai Ganesh Nagarajan Sebastian Pokutta 80 0 0 21 Oct 2024
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks Zixuan Yang Jiaqi Zheng Guihai Chen OffRL 55 0 0 19 Oct 2024
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 109 1 0 18 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 114 1 0 09 Oct 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 174 31 0 30 Aug 2024
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study Zohaib Salahuddin A. Ibrahim Sheng Kuang Y. Widaatalla R. Miclea ... Tom Marcelissen Patricia Zondervan Auke Jager Philippe Lambin Henry C. Woodruff MedIm 46 1 0 07 Aug 2024
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels Patryk Wielopolski Oleksii Furman Łukasz Lenkiewicz Jerzy Stefanowski Maciej Ziȩba 44 0 0 27 May 2024
Learning Actionable Counterfactual Explanations in Large State Spaces Keziah Naggita Matthew R. Walter Avrim Blum OffRL 43 0 0 25 Apr 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 72 5 0 18 Apr 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 117 1 0 13 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 130 18 0 28 Feb 2024
Generating Likely Counterfactuals Using Sum-Product Networks Jiri Nemecek Tomás Pevný Georgios Korpas TPM 81 0 0 25 Jan 2024
Distributional Counterfactual Explanations With Optimal Transport Lei You Lele Cao Mattias Nilsson Bo Zhao Lei Lei OT OffRL 63 1 0 23 Jan 2024
Finding Optimal Diverse Feature Sets with Alternative Feature Selection Jakob Bach 92 1 0 21 Jul 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry Kacper Sokol E. Small Yueqing Xuan 53 5 0 05 Jun 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 79 1 0 18 May 2023
SurvLIME: A method for explaining machine learning survival models M. Kovalev Lev V. Utkin E. Kasimov 163 90 0 18 Mar 2020
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 159 14,831 1 21 Dec 2013