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v1v2v3 (latest)

Explanation in Artificial Intelligence: Insights from the Social Sciences

22 June 2017

Tim Miller

XAI

ArXiv (abs)PDF HTML

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

50 / 1,336 papers shown

Title
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning Yuanlong Li Gaopan Huang Min Zhou Chuan Fu Honglin Qiao Yan He 186 1 0 09 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 157 19 0 08 Nov 2022
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoTHawaii International Conference on System Sciences (HICSS), 2022 Jiaheng Xie Xiaohang Zhao Xiang Liu Xiao Fang OOD 315 3 0 08 Nov 2022
ViT-CX: Causal Explanation of Vision TransformersInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Weiyan Xie Xiao-hui Li Caleb Chen Cao Nevin L.Zhang ViT 286 31 0 06 Nov 2022
A $k$ -additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learningArtificial Intelligence (AIJ), 2022 G. D. Pelegrina L. Duarte M. Grabisch FAtt TDI 221 48 0 03 Nov 2022
A General Search-based Framework for Generating Textual Counterfactual ExplanationsAAAI Conference on Artificial Intelligence (AAAI), 2022 Daniel Gilo Shaul Markovitch LRM 247 3 0 01 Nov 2022
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI) M. Nizami Muhammad Yaseen Khan Alessandro Bogliolo 196 3 0 31 Oct 2022
Artificial intelligence in government: Concepts, standards, and a unified frameworkJournal of Grid Computing (J. Grid Comput.), 2022 Vince J. Straub Deborah Morgan Jonathan Bright Helen Z. Margetts AI4TS 195 56 0 31 Oct 2022
Feature Necessity & Relevancy in ML Classifier ExplanationsInternational Conference on Tools and Algorithms for Construction and Analysis of Systems (TACAS), 2022 Xuanxiang Huang Martin C. Cooper António Morgado Jordi Planes Sasha Rubin FAtt 209 22 0 27 Oct 2022
Painting the black box white: experimental findings from applying XAI to an ECG reading settingMachine Learning and Knowledge Extraction (MLKE), 2022 F. Cabitza M. Cameli Andrea Campagner Chiara Natali Luca Ronzio 172 16 0 27 Oct 2022
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence M. Jafari A. Shoeibi Navid Ghassemi Jónathan Heras Saiguang Ling ... Shuihua Wang R. Alizadehsani Juan M Gorriz U. Acharya Hamid Alinejad-Rokny MedIm 253 12 0 26 Oct 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Alexis Ross Matthew E. Peters Ana Marasović LRM 241 15 0 24 Oct 2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 313 4 0 24 Oct 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for MetaversesACM Computing Surveys (ACM CSUR), 2022 Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 219 58 0 24 Oct 2022
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 468 58 0 24 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesACM Computing Surveys (ACM CSUR), 2022 Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 261 42 0 21 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and OpportunitiesACM Computing Surveys (ACM CSUR), 2022 Jasmina Gajcin Ivana Dusparic CML OffRL 350 21 0 21 Oct 2022
Diffusion Visual Counterfactual ExplanationsNeural Information Processing Systems (NeurIPS), 2022 Maximilian Augustin Valentyn Boreiko Francesco Croce Matthias Hein DiffM BDL 201 95 0 21 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model ExplanationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 312 163 0 20 Oct 2022
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction Huanjie Wang Haibin Liu Wenshuo Wang Lijun Sun 168 5 0 15 Oct 2022
Machine Learning in Transaction Monitoring: The Prospect of xAIHawaii International Conference on System Sciences (HICSS), 2022 Julie Gerlings Ioanna D. Constantiou 102 4 0 14 Oct 2022
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods Nils Feldhus Leonhard Hennig Maximilian Dustin Nasert Christopher Ebert Robert Schwarzenberg Sebastian Möller FAtt 187 22 0 13 Oct 2022
Challenges in Explanation Quality Evaluation Hendrik Schuff Heike Adel Peng Qi Ngoc Thang Vu XAI 214 3 0 13 Oct 2022
A Survey on Explainable Anomaly DetectionACM Transactions on Knowledge Discovery from Data (TKDD), 2022 Zhong Li Yuxuan Zhu M. Leeuwen 315 127 0 13 Oct 2022
On the Explainability of Natural Language Processing Deep ModelsACM Computing Surveys (ACM CSUR), 2022 Julia El Zini M. Awad 232 110 0 13 Oct 2022
Assessing Out-of-Domain Language Model Performance from Few ExamplesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 Prasann Singhal Jarad Forristal Xi Ye Greg Durrett LRM 194 6 0 13 Oct 2022
Explaining Online Reinforcement Learning Decisions of Self-Adaptive SystemsInternational Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2022 Felix Feit Andreas Metzger Klaus Pohl 94 15 0 12 Oct 2022
Experiential Explanations for Reinforcement Learning Amal Alabdulkarim Madhuri Singh Gennie Mansi Kaely Hall Mark O. Riedl Mark O. Riedl OffRL 496 5 0 10 Oct 2022
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 445 22 0 09 Oct 2022
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face ManipulationInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2022 Chenliang Zhou Fangcheng Zhong Steven Chacko CLIP 421 21 0 08 Oct 2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake DetectorsBritish Machine Vision Conference (BMVC), 2022 Federico Baldassarre Quentin Debard Gonzalo Fiz Pontiveros Tri Kurniawan Wijaya 190 5 0 07 Oct 2022
What Do End-Users Really Want? Investigation of Human-Centered XAI for Mobile Health Apps Katharina Weitz Alexander Zellner Elisabeth André 96 6 0 07 Oct 2022
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology R. Verhagen Siddharth Mehrotra Mark Antonius Neerincx Catholijn M. Jonker Myrthe L. Tielman 103 2 0 05 Oct 2022
On the Influence of Cognitive Styles on Users' Understanding of ExplanationsInternational Conference on Interaction Sciences (ICIS), 2022 Lara Riefle Patrick Hemmer Carina Benz Michael Vossing Jannik Pries 192 7 0 05 Oct 2022
Concise and interpretable multi-label rule setsIndustrial Conference on Data Mining (IDM), 2022 Martino Ciaperoni Han Xiao Aristides Gionis 165 1 0 04 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI InteractionInternational Conference on Human Factors in Computing Systems (CHI), 2022 Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 294 145 0 02 Oct 2022
Using Argumentation Schemes to Model Legal Reasoning Trevor J. M. Bench-Capon Katie Atkinson ELM AILaw 63 5 0 01 Oct 2022
BIASeD: Bringing Irrationality into Automated System Design Aditya Gulati M. Lozano Bruno Lepri Nuria Oliver 330 8 0 01 Oct 2022
Contrastive Corpus Attribution for Explaining RepresentationsInternational Conference on Learning Representations (ICLR), 2022 Christy Lin Hugh Chen Chanwoo Kim Su-In Lee SSL 167 9 0 30 Sep 2022
Variance Tolerance Factors For Interpreting ALL Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2022 Sichao Li Amanda S. Barnard FAtt 208 4 0 28 Sep 2022
Assessing Digital Language Support on a Global ScaleInternational Conference on Computational Linguistics (COLING), 2022 Gary F. Simons Abbey L Thomas Chad White ELM 130 15 0 27 Sep 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classificationKnowledge-Based Systems (KBS), 2022 Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 216 32 0 26 Sep 2022
Towards Faithful Model Explanation in NLP: A SurveyComputational Linguistics (CL), 2022 Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 478 166 0 22 Sep 2022
Counterfactual Explanations Using Optimization With Constraint Learning Donato Maragno Tabea E. Rober Ilker Birbil CML 305 13 0 22 Sep 2022
Understandable Robots Shikhar Kumar 119 14 0 22 Sep 2022
Computing Abductive Explanations for Boosted TreesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Gilles Audemard Jean-Marie Lagniez Pierre Marquis N. Szczepanski 133 20 0 16 Sep 2022
Model interpretation using improved local regression with variable importance Gilson Y. Shimizu Rafael Izbicki A. Carvalho FAtt 178 3 0 12 Sep 2022
A Causal-based Approach to Explain, Predict and Prevent Failures in Robotic Tasks Maximilian Diehl Karinne Ramirez-Amaro CML 221 29 0 12 Sep 2022
Explaining Results of Multi-Criteria Decision MakingJournal of Multi-Criteria Decision Analysis (MCDA), 2022 Martin Erwig Prashant Kumar 27 0 0 10 Sep 2022
Shapley value-based approaches to explain the robustness of classifiers in machine learning G. D. Pelegrina S. Siraj FAtt 129 3 0 09 Sep 2022

v1v2v3 (latest)

Explanation in Artificial Intelligence: Insights from the Social Sciences

22 June 2017

Tim Miller

XAI

ArXiv (abs)PDF HTML

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

50 / 1,336 papers shown

Title
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning Yuanlong Li Gaopan Huang Min Zhou Chuan Fu Honglin Qiao Yan He 186 1 0 09 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 157 19 0 08 Nov 2022
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoTHawaii International Conference on System Sciences (HICSS), 2022 Jiaheng Xie Xiaohang Zhao Xiang Liu Xiao Fang OOD 315 3 0 08 Nov 2022
ViT-CX: Causal Explanation of Vision TransformersInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Weiyan Xie Xiao-hui Li Caleb Chen Cao Nevin L.Zhang ViT 286 31 0 06 Nov 2022
A $k$ -additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learningArtificial Intelligence (AIJ), 2022 G. D. Pelegrina L. Duarte M. Grabisch FAtt TDI 221 48 0 03 Nov 2022
A General Search-based Framework for Generating Textual Counterfactual ExplanationsAAAI Conference on Artificial Intelligence (AAAI), 2022 Daniel Gilo Shaul Markovitch LRM 247 3 0 01 Nov 2022
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI) M. Nizami Muhammad Yaseen Khan Alessandro Bogliolo 196 3 0 31 Oct 2022
Artificial intelligence in government: Concepts, standards, and a unified frameworkJournal of Grid Computing (J. Grid Comput.), 2022 Vince J. Straub Deborah Morgan Jonathan Bright Helen Z. Margetts AI4TS 195 56 0 31 Oct 2022
Feature Necessity & Relevancy in ML Classifier ExplanationsInternational Conference on Tools and Algorithms for Construction and Analysis of Systems (TACAS), 2022 Xuanxiang Huang Martin C. Cooper António Morgado Jordi Planes Sasha Rubin FAtt 209 22 0 27 Oct 2022
Painting the black box white: experimental findings from applying XAI to an ECG reading settingMachine Learning and Knowledge Extraction (MLKE), 2022 F. Cabitza M. Cameli Andrea Campagner Chiara Natali Luca Ronzio 172 16 0 27 Oct 2022
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence M. Jafari A. Shoeibi Navid Ghassemi Jónathan Heras Saiguang Ling ... Shuihua Wang R. Alizadehsani Juan M Gorriz U. Acharya Hamid Alinejad-Rokny MedIm 253 12 0 26 Oct 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Alexis Ross Matthew E. Peters Ana Marasović LRM 241 15 0 24 Oct 2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 313 4 0 24 Oct 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for MetaversesACM Computing Surveys (ACM CSUR), 2022 Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 219 58 0 24 Oct 2022
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 468 58 0 24 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesACM Computing Surveys (ACM CSUR), 2022 Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 261 42 0 21 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and OpportunitiesACM Computing Surveys (ACM CSUR), 2022 Jasmina Gajcin Ivana Dusparic CML OffRL 350 21 0 21 Oct 2022
Diffusion Visual Counterfactual ExplanationsNeural Information Processing Systems (NeurIPS), 2022 Maximilian Augustin Valentyn Boreiko Francesco Croce Matthias Hein DiffM BDL 201 95 0 21 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model ExplanationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 312 163 0 20 Oct 2022
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction Huanjie Wang Haibin Liu Wenshuo Wang Lijun Sun 168 5 0 15 Oct 2022
Machine Learning in Transaction Monitoring: The Prospect of xAIHawaii International Conference on System Sciences (HICSS), 2022 Julie Gerlings Ioanna D. Constantiou 102 4 0 14 Oct 2022
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods Nils Feldhus Leonhard Hennig Maximilian Dustin Nasert Christopher Ebert Robert Schwarzenberg Sebastian Möller FAtt 187 22 0 13 Oct 2022
Challenges in Explanation Quality Evaluation Hendrik Schuff Heike Adel Peng Qi Ngoc Thang Vu XAI 214 3 0 13 Oct 2022
A Survey on Explainable Anomaly DetectionACM Transactions on Knowledge Discovery from Data (TKDD), 2022 Zhong Li Yuxuan Zhu M. Leeuwen 315 127 0 13 Oct 2022
On the Explainability of Natural Language Processing Deep ModelsACM Computing Surveys (ACM CSUR), 2022 Julia El Zini M. Awad 232 110 0 13 Oct 2022
Assessing Out-of-Domain Language Model Performance from Few ExamplesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 Prasann Singhal Jarad Forristal Xi Ye Greg Durrett LRM 194 6 0 13 Oct 2022
Explaining Online Reinforcement Learning Decisions of Self-Adaptive SystemsInternational Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2022 Felix Feit Andreas Metzger Klaus Pohl 94 15 0 12 Oct 2022
Experiential Explanations for Reinforcement Learning Amal Alabdulkarim Madhuri Singh Gennie Mansi Kaely Hall Mark O. Riedl Mark O. Riedl OffRL 496 5 0 10 Oct 2022
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 445 22 0 09 Oct 2022
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face ManipulationInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2022 Chenliang Zhou Fangcheng Zhong Steven Chacko CLIP 421 21 0 08 Oct 2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake DetectorsBritish Machine Vision Conference (BMVC), 2022 Federico Baldassarre Quentin Debard Gonzalo Fiz Pontiveros Tri Kurniawan Wijaya 190 5 0 07 Oct 2022
What Do End-Users Really Want? Investigation of Human-Centered XAI for Mobile Health Apps Katharina Weitz Alexander Zellner Elisabeth André 96 6 0 07 Oct 2022
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology R. Verhagen Siddharth Mehrotra Mark Antonius Neerincx Catholijn M. Jonker Myrthe L. Tielman 103 2 0 05 Oct 2022
On the Influence of Cognitive Styles on Users' Understanding of ExplanationsInternational Conference on Interaction Sciences (ICIS), 2022 Lara Riefle Patrick Hemmer Carina Benz Michael Vossing Jannik Pries 192 7 0 05 Oct 2022
Concise and interpretable multi-label rule setsIndustrial Conference on Data Mining (IDM), 2022 Martino Ciaperoni Han Xiao Aristides Gionis 165 1 0 04 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI InteractionInternational Conference on Human Factors in Computing Systems (CHI), 2022 Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 294 145 0 02 Oct 2022
Using Argumentation Schemes to Model Legal Reasoning Trevor J. M. Bench-Capon Katie Atkinson ELM AILaw 63 5 0 01 Oct 2022
BIASeD: Bringing Irrationality into Automated System Design Aditya Gulati M. Lozano Bruno Lepri Nuria Oliver 330 8 0 01 Oct 2022
Contrastive Corpus Attribution for Explaining RepresentationsInternational Conference on Learning Representations (ICLR), 2022 Christy Lin Hugh Chen Chanwoo Kim Su-In Lee SSL 167 9 0 30 Sep 2022
Variance Tolerance Factors For Interpreting ALL Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2022 Sichao Li Amanda S. Barnard FAtt 208 4 0 28 Sep 2022
Assessing Digital Language Support on a Global ScaleInternational Conference on Computational Linguistics (COLING), 2022 Gary F. Simons Abbey L Thomas Chad White ELM 130 15 0 27 Sep 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classificationKnowledge-Based Systems (KBS), 2022 Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 216 32 0 26 Sep 2022
Towards Faithful Model Explanation in NLP: A SurveyComputational Linguistics (CL), 2022 Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 478 166 0 22 Sep 2022
Counterfactual Explanations Using Optimization With Constraint Learning Donato Maragno Tabea E. Rober Ilker Birbil CML 305 13 0 22 Sep 2022
Understandable Robots Shikhar Kumar 119 14 0 22 Sep 2022
Computing Abductive Explanations for Boosted TreesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Gilles Audemard Jean-Marie Lagniez Pierre Marquis N. Szczepanski 133 20 0 16 Sep 2022
Model interpretation using improved local regression with variable importance Gilson Y. Shimizu Rafael Izbicki A. Carvalho FAtt 178 3 0 12 Sep 2022
A Causal-based Approach to Explain, Predict and Prevent Failures in Robotic Tasks Maximilian Diehl Karinne Ramirez-Amaro CML 221 29 0 12 Sep 2022
Explaining Results of Multi-Criteria Decision MakingJournal of Multi-Criteria Decision Analysis (MCDA), 2022 Martin Erwig Prashant Kumar 27 0 0 10 Sep 2022
Shapley value-based approaches to explain the robustness of classifiers in machine learning G. D. Pelegrina S. Siraj FAtt 129 3 0 09 Sep 2022