Explaining Explanations in AI

4 November 2018

Papers citing "Explaining Explanations in AI"

50 / 79 papers shown

Title
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration Vasiliki Papanikou Danae Pla Karidi E. Pitoura Emmanouil Panagiotou Eirini Ntoutsi 41 0 0 01 May 2025
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition Gaole He Patrick Hemmer Michael Vossing Max Schemmer U. Gadiraju 53 0 0 19 Jan 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 46 0 0 10 Jan 2025
A Mechanistic Explanatory Strategy for XAI Marcin Rabiza 59 1 0 02 Nov 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 37 5 0 04 Apr 2024
Explaining Probabilistic Models with Distributional Values Luca Franceschi Michele Donini Cédric Archambeau Matthias Seeger FAtt 39 2 0 15 Feb 2024
Conceptualizing the Relationship between AI Explanations and User Agency Iyadunni Adenuga Jonathan Dodge 29 2 0 05 Dec 2023
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 35 1 0 29 May 2023
The Case Against Explainability Hofit Wasserman Rozen N. Elkin-Koren Ran Gilad-Bachrach AILaw ELM 36 1 0 20 May 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 34 61 0 12 May 2023
Logic for Explainable AI Adnan Darwiche 43 8 0 09 May 2023
Towards a Praxis for Intercultural Ethics in Explainable AI Chinasa T. Okolo 44 3 0 24 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 31 7 0 12 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 28 56 0 10 Apr 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse Zijie J. Wang J. W. Vaughan R. Caruana Duen Horng Chau HAI 41 21 0 27 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 47 3 0 07 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 26 57 0 01 Feb 2023
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions Julia El Zini Mohamad Mansour M. Awad 35 1 0 19 Jan 2023
Fiduciary Responsibility: Facilitating Public Trust in Automated Decision Making Shannon B. Harper Eric S. Weber 39 0 0 06 Jan 2023
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map P. Zang T. Hormel Jie Wang Yukun Guo Steven T. Bailey C. Flaxel David Huang T. Hwang Yali Jia MedIm 35 7 0 13 Dec 2022
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare Rob Procter P. Tolmie M. Rouncefield 11 31 0 29 Nov 2022
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future P. Hacker AILaw 31 61 0 25 Nov 2022
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models Gayda Mutahar Tim Miller FAtt 29 6 0 19 Nov 2022
On the Efficiency of Ethics as a Governing Tool for Artificial Intelligence N. Corrêa N. D. Oliveira Diogo Massmann 38 1 0 27 Oct 2022
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models Zijie J. Wang Evan Montoya David Munechika Haoyang Yang Benjamin Hoover Duen Horng Chau 54 292 0 26 Oct 2022
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space Carlos Mougan Klaus Broelemann Gjergji Kasneci T. Tiropanis Steffen Staab FAtt 34 7 0 22 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 43 109 0 02 Oct 2022
Planning and Scheduling in Digital Health with Answer Set Programming Marco Mochi 16 0 0 05 Aug 2022
Explaining Any ML Model? -- On Goals and Capabilities of XAI Moritz Renftle Holger Trittenbach M. Poznic Reinhard Heil ELM 21 4 0 28 Jun 2022
Ask to Know More: Generating Counterfactual Explanations for Fake Claims Shih-Chieh Dai Yi-Li Hsu Aiping Xiong Lun-Wei Ku OffRL 25 23 0 10 Jun 2022
Causal Explanations for Sequential Decision Making Under Uncertainty Samer B. Nashed Saaduddin Mahmud C. V. Goldman S. Zilberstein CML 51 4 0 30 May 2022
The Conflict Between Explainable and Accountable Decision-Making Algorithms Gabriel Lima Nina Grgić-Hlavca Jin Keun Jeong M. Cha 24 37 0 11 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 45 78 0 06 May 2022
Interactive Model Cards: A Human-Centered Approach to Model Documentation Anamaria Crisan Margaret Drouhard Jesse Vig Nazneen Rajani HAI 45 87 0 05 May 2022
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions Daniel Omeiza S. Anjomshoae Helena Webb Marina Jirotka Lars Kunze 27 13 0 19 Apr 2022
On the Computation of Necessary and Sufficient Explanations Adnan Darwiche Chunxi Ji FAtt 27 19 0 20 Mar 2022
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs Edmund Dervakos Orfeas Menis Mastromichalakis A. Chortaras Giorgos Stamou FAtt 19 6 0 08 Feb 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 44 21 0 29 Dec 2021
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure Heming Yao H. Derksen J. Golbus Justin Zhang K. Aaronson Jonathan Gryak Kayvan Najarian 28 4 0 09 Dec 2021
On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System Helen Jiang Erwen Senge 25 7 0 02 Dec 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 52 650 0 05 Oct 2021
Longitudinal Distance: Towards Accountable Instance Attribution Rosina O. Weber Prateek Goel S. Amiri G. Simpson 16 0 0 23 Aug 2021
GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks Lucie Charlotte Magister Dmitry Kazhdan Vikash Singh Pietro Lio 35 48 0 25 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 Jul 2021
A unified logical framework for explanations in classifier systems Xinghan Liu E. Lorini 25 12 0 30 May 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 34 140 0 17 May 2021
Semantic Modeling for Food Recommendation Explanations Ishita Padhiar Oshani Seneviratne Shruthi Chari Daniel Gruen D. McGuinness 23 14 0 04 May 2021
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals Sainyam Galhotra Romila Pradhan Babak Salimi CML 30 105 0 22 Mar 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth CML 32 146 0 26 Feb 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 68 415 0 15 Feb 2021