Explanation in Artificial Intelligence: Insights from the Social Sciences

22 June 2017

Papers citing "Explanation in Artificial Intelligence: Insights from the Social Sciences"

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Title
Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts Lucas Rizzo Luca Longo 11 5 0 28 Jun 2022
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI Leilani H. Gilpin Andrew R. Paley M. A. Alam Sarah Spurlock Kristian J. Hammond XAI 47 6 0 27 Jun 2022
Learning Rhetorical Structure Theory-based descriptions of observed behaviour L. Botelho Luís Nunes Ricardo Ribeiro Rui J. Lopes 14 0 0 24 Jun 2022
Explanatory causal effects for model agnostic explanations Jiuyong Li Ha Xuan Tran T. Le Lin Liu Kui Yu Jixue Liu CML 29 1 0 23 Jun 2022
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives Zhuofan Ying Peter Hase Joey Tianyi Zhou LRM 38 13 0 22 Jun 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI Q. V. Liao Yunfeng Zhang Ronny Luss Finale Doshi-Velez Amit Dhurandhar 26 81 0 22 Jun 2022
Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanations Benjamin Krarup F. Lindner Senka Krivic D. Long 16 2 0 20 Jun 2022
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability L. Herm Kai Heinrich Jonas Wanner Christian Janiesch 19 84 0 20 Jun 2022
Eliminating The Impossible, Whatever Remains Must Be True Jinqiang Yu Alexey Ignatiev Peter Stuckey Nina Narodytska Sasha Rubin 35 23 0 20 Jun 2022
A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning Balint Gyevnar Massimiliano Tamborski Cheng-Hsien Wang Christopher G. Lucas Shay B. Cohen Stefano V. Albrecht 6 11 0 17 Jun 2022
Rectifying Mono-Label Boolean Classifiers S. Coste-Marquis Pierre Marquis 43 0 0 17 Jun 2022
The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt Uddeshya Upadhyay Zeynep Akata U. V. Luxburg FAtt AAML 36 12 0 15 Jun 2022
Combining Counterfactuals With Shapley Values To Explain Image Models Aditya Lahiri Kamran Alipour Ehsan Adeli Babak Salimi FAtt 36 6 0 14 Jun 2022
Explainable AI for High Energy Physics Mark S. Neubauer Avik Roy 44 10 0 14 Jun 2022
A Methodology and Software Architecture to Support Explainability-by-Design T. D. Huynh Niko Tsakalakis Ayah Helal Sophie Stalla-Bourdillon Luc Moreau 29 5 0 13 Jun 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 59 16 0 13 Jun 2022
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces Kamran Alipour Aditya Lahiri Ehsan Adeli Babak Salimi M. Pazzani CML 35 7 0 10 Jun 2022
Diffeomorphic Counterfactuals with Generative Models Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 40 15 0 10 Jun 2022
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance Andrew Bell O. Nov Julia Stoyanovich 32 26 0 10 Jun 2022
Ask to Know More: Generating Counterfactual Explanations for Fake Claims Shih-Chieh Dai Yi-Li Hsu Aiping Xiong Lun-Wei Ku OffRL 30 23 0 10 Jun 2022
Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark Mohamed Karim Belaid Eyke Hüllermeier Maximilian Rabus Ralf Krestel ELM 21 0 0 08 Jun 2022
EiX-GNN : Concept-level eigencentrality explainer for graph neural networks Adrien Raison Pascal Bourdon David Helbert 17 1 0 07 Jun 2022
Explainability in Mechanism Design: Recent Advances and the Road Ahead Sharadhi Alape Suryanarayana David Sarne Sarit Kraus 31 6 0 07 Jun 2022
Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence Thao Le Tim Miller Ronal Singh L. Sonenberg 14 9 0 06 Jun 2022
Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements Umm-e-Habiba Justus Bogner Stefan Wagner XAI 26 13 0 03 Jun 2022
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts Chirag Raman Hayley Hung Marco Loog 37 3 0 01 Jun 2022
Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables Manjinder Singh Alexander E. I. Brownlee David Cairns 25 12 0 31 May 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 111 64 0 31 May 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
Justifying Social-Choice Mechanism Outcome for Improving Participant Satisfaction Sharadhi Alape Suryanarayana David Sarne Bar-Ilan 24 7 0 24 May 2022
Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcement Antonio Rago P. Baroni Francesca Toni CML 35 5 0 23 May 2022
Fairness in Recommender Systems: Research Landscape and Future Directions Yashar Deldjoo Dietmar Jannach Alejandro Bellogín Alessandro Difonzo Dario Zanzonelli OffRL FaML 94 83 0 23 May 2022
Human and technological infrastructures of fact-checking Prerna Juneja Tanushree Mitra HILM HAI 41 41 0 22 May 2022
Explanatory machine learning for sequential human teaching L. Ai Johannes Langer Stephen Muggleton Ute Schmid 39 5 0 20 May 2022
The Fairness of Credit Scoring Models Christophe Hurlin C. Pérignon Sébastien Saurin FaML 32 23 0 20 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 49 13 0 20 May 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 48 59 0 20 May 2022
Provably Precise, Succinct and Efficient Explanations for Decision Trees Yacine Izza Alexey Ignatiev Nina Narodytska Martin C. Cooper Sasha Rubin FAtt 45 7 0 19 May 2022
Generating Explanations from Deep Reinforcement Learning Using Episodic Memory Sam Blakeman D. Mareschal 37 3 0 18 May 2022
A Psychological Theory of Explainability Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto XAI FAtt 61 16 0 17 May 2022
Is explainable AI a race against model complexity? Advait Sarkar LRM 23 15 0 17 May 2022
Sparse Visual Counterfactual Explanations in Image Space Valentyn Boreiko Maximilian Augustin Francesco Croce Philipp Berens Matthias Hein BDL CML 37 26 0 16 May 2022
Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that? Marko Tešić U. Hahn CML 17 5 0 12 May 2022
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making Jakob Schoeffer Niklas Kuehl Yvette Machowski FaML 39 52 0 11 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 45 25 0 11 May 2022
The Conflict Between Explainable and Accountable Decision-Making Algorithms Gabriel Lima Nina Grgić-Hlavca Jin Keun Jeong M. Cha 26 37 0 11 May 2022
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory Harmanpreet Kaur Eytan Adar Eric Gilbert Cliff Lampe 16 59 0 10 May 2022
Lifelong Personal Context Recognition A. Bontempelli Marcelo D. Rodas-Brítez Xiaoyue Li Haonan Zhao L. Erculiani Stefano Teso Andrea Passerini Fausto Giunchiglia 31 5 0 10 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 43 18 0 06 May 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection Esma Balkir I. Nejadgholi Kathleen C. Fraser S. Kiritchenko FAtt 46 27 0 06 May 2022