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Explanation in Artificial Intelligence: Insights from the Social Sciences

22 June 2017

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

50 / 1,333 papers shown

Title
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and RefinementInformation Visualization (InfoVis), 2023 M. D. L. D. Bouter J. Pardo Z. Geradts M. Worring 249 15 0 20 Sep 2023
Explaining Agent Behavior with Large Language Models Xijia Zhang Yue (Sophie) Guo Simon Stepputtis Katia Sycara Joseph Campbell LM&Ro LLMAG 185 7 0 19 Sep 2023
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree Adarsa Sivaprasad Ehud Reiter N. Tintarev Nir Oren FAtt 168 6 0 18 Sep 2023
Interpretability is not Explainability: New Quantitative XAI Approach with a focus on Recommender Systems in Education Riccardo Porcedda XAI 124 1 0 18 Sep 2023
Quantifying Credit Portfolio sensitivity to asset correlations with interpretable generative neural networks S. Caprioli Emanuele Cagliero Riccardo Crupi GAN 60 4 0 15 Sep 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation LearningEntropy (Entropy), 2023 Emanuele Marconato Baptiste Caramiaux Stefano Teso 236 19 0 14 Sep 2023
Causal Entropy and Information Gain for Measuring Causal Control F. N. F. Q. Simoes Mehdi Dastani T. V. Ommen CML 145 7 0 14 Sep 2023
On the Injunction of XAIxArt C. Arora Debarun Sarkar 31 0 0 12 Sep 2023
Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiersIEEE International Joint Conference on Neural Network (IJCNN), 2023 Vincent Lemaire Nathan Le Boudec Victor Guyomard Franccoise Fessant CML 168 1 0 08 Sep 2023
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse Edward A. Small Jeffrey N Clark Christopher J. McWilliams Kacper Sokol Jeffrey Chan Flora D. Salim Raúl Santos-Rodríguez 235 1 0 08 Sep 2023
FIND: A Function Description Benchmark for Evaluating Interpretability MethodsNeural Information Processing Systems (NeurIPS), 2023 Sarah Schwettmann Tamar Rott Shaham Joanna Materzyñska Neil Chowdhury Shuang Li Jacob Andreas David Bau Antonio Torralba 185 31 0 07 Sep 2023
A Refutation of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 314 3 0 06 Sep 2023
Natural Example-Based Explainability: a Survey Antonin Poché Lucas Hervier M. Bakkay XAI 152 19 0 05 Sep 2023
Outlining the design space of eXplainable swarm (xSwarm): experts perspectiveInternational Symposium on Distributed Autonomous Robotic Systems (DARS), 2023 Mohammad Naiseh Mohammad D. Soorati Sarvapali Ramchurn 126 4 0 03 Sep 2023
Declarative Reasoning on Explanations Using Constraint Logic ProgrammingEuropean Conference on Logics in Artificial Intelligence (JELIA), 2023 Laura State Salvatore Ruggieri Franco Turini LRM 151 1 0 01 Sep 2023
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care Tin Lai MedIm 150 8 0 01 Sep 2023
Learning to Taste: A Multimodal Wine DatasetNeural Information Processing Systems (NeurIPS), 2023 Thoranna Bender Simon Moe Sorensen A. Kashani K. E. Hjorleifsson Grethe Hyldig Søren Hauberg Serge Belongie Frederik Warburg CoGe 411 6 0 31 Aug 2023
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems Sebastian Lubos Thi Ngoc Trang Tran Seda Polat-Erdeniz Merfat El Mansi Alexander Felfernig Manfred Wundara G. Leitner HAI 108 6 0 31 Aug 2023
Explainable Answer-set ProgrammingInternational Conference on Logic Programming (ICLP), 2023 Tobias Geibinger LRM 159 2 0 30 Aug 2023
RecRec: Algorithmic Recourse for Recommender SystemsInternational Conference on Information and Knowledge Management (CIKM), 2023 Sahil Verma Ashudeep Singh Varich Boonsanong John P. Dickerson Chirag Shah 228 5 0 28 Aug 2023
Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and DisgustInternational Conference on Inductive Logic Programming (ILP), 2023 Bettina Finzel Simon Kuhn David E. Tafler Ute Schmid FAtt 124 2 0 27 Aug 2023
Situated Natural Language Explanations Zining Zhu Hao Jiang Jingfeng Yang Jiapeng Liu Chao Zhang Jie Huang Yifan Gao Frank Rudzicz Bing Yin LRM 173 1 0 27 Aug 2023
Learning to Intervene on Concept BottlenecksInternational Conference on Machine Learning (ICML), 2023 David Steinmann Wolfgang Stammer Felix Friedrich Kristian Kersting 307 28 0 25 Aug 2023
Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach Neha Gianchandani Mahsa Dibaji M. Bento Ethan MacDonald Roberto Souza FAtt MedIm 158 1 0 23 Aug 2023
User-centric AIGC products: Explainable Artificial Intelligence and AIGC products Hanjie Yu Yan Dong Qiong Wu 42 8 0 19 Aug 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 175 5 0 16 Aug 2023
Explaining Black-Box Models through CounterfactualsJuliaCon Proceedings (JuliaCon), 2023 Patrick Altmeyer A. V. Deursen Cynthia C. S. Liem CML LRM 191 3 0 14 Aug 2023
DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System Mojtaba Yeganejou Kimia Honari Ryan Kluzinski S. Dick M. Lipsett James Miller FedML AI4CE 129 3 0 11 Aug 2023
Contrastive Explanations of Centralized Multi-agent Optimization SolutionsInternational Conference on Automated Planning and Scheduling (ICAPS), 2023 Parisa Zehtabi Alberto Pozanco Ayala Bloch Daniel Borrajo Sarit Kraus 116 8 0 11 Aug 2023
Explainable AI applications in the Medical Domain: a systematic review Nicoletta Prentzas A. Kakas Constantinos S. Pattichis 214 16 0 10 Aug 2023
Adding Why to What? Analyses of an Everyday Explanation Lutz Terfloth M. Schaffer H. M. Buhl Carsten Schulte 69 3 0 08 Aug 2023
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI Ivania Donoso-Guzmán Jeroen Ooge Denis Parra K. Verbert 144 10 0 31 Jul 2023
Comprehensive Algorithm Portfolio Evaluation using Item Response TheoryJournal of machine learning research (JMLR), 2023 Sevvandi Kandanaarachchi K. Smith‐Miles 103 6 0 29 Jul 2023
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI) Barnaby Crook Maximilian Schluter Timo Speith 153 27 0 26 Jul 2023
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition Amirhossein Aminimehr Amir Molaei Xiaoshi Zhong 181 1 0 23 Jul 2023
Providing personalized Explanations: a Conversational ApproachChinese Conference on Logic and Argumentation (CLA), 2023 Jieting Luo T. Studer Mehdi Dastani 75 3 0 21 Jul 2023
Modifications of the Miller definition of contrastive (counterfactual) explanationsEuropean Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU), 2023 Kevin McAreavey Weiru Liu 100 1 0 20 Jul 2023
Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic ParrotsSymposium on Human-Computer Interaction for Work (CHIWORK), 2023 Advait Sarkar 166 52 0 20 Jul 2023
NaMemo2: Facilitating Teacher-Student Interaction with Theory-Based Design and Student Autonomy ConsiderationEducation and Information Technologies : Official Journal of the IFIP technical committee on Education (EAIT), 2023 Guang-Xiu Jiang Jiahui Zhu Yun-fu Li Pengcheng An Yunlong Wang 129 5 0 17 Jul 2023
SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology predictionNordic Machine Intelligence (NMI), 2023 Mahbub Ul Alam Jaakko Hollmén Jón R. Baldvinsson R. Rahmani FAtt 416 3 0 16 Jul 2023
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model Mohsen Abbaspour Onari Isel Grau M. S. Nobile Yingqian Zhang 126 2 0 15 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual ExplanationsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 Emanuele Albini Sanjay Kariyappa Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 220 3 0 13 Jul 2023
Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process MonitoringInformation Systems (Inf. Syst.), 2023 Andreas Metzger Tristan Kley Aristide Rothweiler Klaus Pohl 119 6 0 12 Jul 2023
Utilising Explanations to Mitigate Robot Conversational Failures Dimosthenis Kontogiorgos 131 1 0 10 Jul 2023
A User Study on Explainable Online Reinforcement Learning for Adaptive SystemsACM Transactions on Autonomous and Adaptive Systems (TAAS), 2023 Andreas Metzger Jan Laufer Felix Feit Klaus Pohl OffRL OnRL 210 4 0 09 Jul 2023
On Formal Feature Attribution and Its Approximation Jinqiang Yu Alexey Ignatiev Peter Stuckey 365 10 0 07 Jul 2023
Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research Toygar Tanyel S. Ayvaz B. Keserci MedIm 326 13 0 05 Jul 2023
Analyzing Intentional Behavior in Autonomous Agents under UncertaintyInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Filip Cano Córdoba Samuel Judson Timos Antonopoulos Katrine Bjørner Nicholas Shoemaker Scott J. Shapiro R. Piskac Bettina Könighofer 158 4 0 04 Jul 2023
Explainability is NOT a GameCommunications of the ACM (CACM), 2023 Sasha Rubin Xuanxiang Huang 259 33 0 27 Jun 2023
Delivering Inflated ExplanationsAAAI Conference on Artificial Intelligence (AAAI), 2023 Yacine Izza Alexey Ignatiev Peter Stuckey Sasha Rubin XAI 182 10 0 27 Jun 2023