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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"

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Title
Red Teaming Deep Neural Networks with Feature Synthesis ToolsNeural Information Processing Systems (NeurIPS), 2023 Stephen Casper Yuxiao Li Jiawei Li Tong Bu Ke Zhang K. Hariharan Dylan Hadfield-Menell AAML 355 21 0 08 Feb 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication B. Keenan Kacper Sokol 305 9 0 07 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function ProposalACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 M. Hashemi Ali Darejeh Francisco Cruz 333 4 0 07 Feb 2023
Five policy uses of algorithmic transparency and explainability Matthew R. O’Shaughnessy 315 1 0 06 Feb 2023
Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2Applied Soft Computing (Appl. Soft Comput.), 2023 Wolfgang Messner CML 183 16 0 02 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 248 72 0 01 Feb 2023
On the Complexity of Enumerating Prime Implicants from Decision-DNNF CircuitsInternational Symposium on Artificial Intelligence and Mathematics (ISAIM), 2022 Alexis de Colnet Pierre Marquis 128 9 0 30 Jan 2023
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAIInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Saugat Aryal Markt. Keane 200 27 0 27 Jan 2023
Reflective Artificial Intelligence P. R. Lewis Stefan Sarkadi 136 29 0 25 Jan 2023
Explainable AI does not provide the explanations end-users are asking for Savio Rozario G. Cevora XAI 166 2 0 25 Jan 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 268 3 0 24 Jan 2023
Explainable Deep Reinforcement Learning: State of the Art and ChallengesACM Computing Surveys (ACM CSUR), 2022 G. Vouros XAI 381 122 0 24 Jan 2023
Selective Explanations: Leveraging Human Input to Align Explainable AI Vivian Lai Yiming Zhang Chacha Chen Q. V. Liao Chenhao Tan 331 58 0 23 Jan 2023
Interpretability in Activation Space Analysis of Transformers: A Focused Survey Soniya Vijayakumar AI4CE 146 4 0 22 Jan 2023
Rationalization for Explainable NLP: A Survey Sai Gurrapu Ajay Kulkarni Lifu Huang Ismini Lourentzou Laura J. Freeman Feras A. Batarseh 295 50 0 21 Jan 2023
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion LabelingInternational Symposium on Computers and Communications (ISCC), 2021 C. Metta Riccardo Guidotti Yuan Yin Patrick Gallinari S. Rinzivillo MedIm 139 13 0 18 Jan 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 546 149 0 18 Jan 2023
Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle Ryosuke Hyodo Susumu Saito Teppei Nakano Makoto Akabane Ryoichi Kasuga Tetsuji Ogawa 67 1 0 10 Jan 2023
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generationAI Open (AO), 2023 Jialin Yu Alexandra I. Cristea Anoushka Harit Zhongtian Sun O. Aduragba Lei Shi Noura Al Moubayed VLM BDL DRL 265 3 0 05 Jan 2023
PEAK: Explainable Privacy Assistant through Automated Knowledge Extraction Gonul Ayci Arzucan Özgür Murat cSensoy P. Yolum 240 4 0 05 Jan 2023
Mapping Knowledge Representations to Concepts: A Review and New Perspectives Lars Holmberg P. Davidsson Per Linde 197 2 0 31 Dec 2022
A Theoretical Framework for AI Models Explainability with Application in BiomedicineIEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2022 Matteo Rizzo Alberto Veneri A. Albarelli Claudio Lucchese Marco Nobile Cristina Conati XAI 250 12 0 29 Dec 2022
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 315 109 0 25 Dec 2022
Explanation Regeneration via Information BottleneckAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Qintong Li Zhiyong Wu Lingpeng Kong Wei Bi 240 4 0 19 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations DifferArtificial Intelligence (AI), 2022 Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 242 21 0 16 Dec 2022
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh Chawla 190 2 0 15 Dec 2022
Explanations Can Reduce Overreliance on AI Systems During Decision-Making Helena Vasconcelos Matthew Jörke Madeleine Grunde-McLaughlin Tobias Gerstenberg Michael S. Bernstein Ranjay Krishna 265 243 0 13 Dec 2022
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting Yiqi Sun Zheng Shi Jianshen Zhang Yongzhi Qi Hao Hu Zuo-jun Shen AI4TS 156 1 0 13 Dec 2022
On Computing Probabilistic Abductive ExplanationsInternational Journal of Approximate Reasoning (IJAR), 2022 Yacine Izza Xuanxiang Huang Alexey Ignatiev Nina Narodytska Martin C. Cooper Sasha Rubin FAtt XAI 227 26 0 12 Dec 2022
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences Anna Kawakami Luke M. Guerdan Yang Cheng Anita Sun Alison Hu ... Nikos Arechiga Matthew H. Lee Scott A. Carter Haiyi Zhu Kenneth Holstein 180 10 0 11 Dec 2022
FAIR AI Models in High Energy Physics Javier Mauricio Duarte Haoyang Li Avik Roy Ruike Zhu Eliu A. Huerta ... Mark S. Neubauer Sang Eon Park M. Quinnan R. Rusack Zhizhen Zhao 311 13 0 09 Dec 2022
Criteria for Classifying Forecasting MethodsInternational Journal of Forecasting (IJF), 2020 Tim Januschowski Jan Gasthaus Bernie Wang David Salinas Valentin Flunkert Michael Bohlke-Schneider Laurent Callot AI4TS 237 201 0 07 Dec 2022
Towards Better User Requirements: How to Involve Human Participants in XAI Research Thu Nguyen Jichen Zhu 98 4 0 06 Dec 2022
Relative Sparsity for Medical Decision ProblemsStatistics in Medicine (Stat Med), 2022 Samuel J. Weisenthal Sally W. Thurston Ashkan Ertefaie 200 4 0 29 Nov 2022
Mixture of Decision Trees for Interpretable Machine LearningInternational Conference on Machine Learning and Applications (ICMLA), 2022 Simeon Brüggenjürgen Nina Schaaf P. Kerschke Marco F. Huber MoE 86 1 0 26 Nov 2022
$Interpretability of an Interaction Network for identifying $H \rightarrow b\bar{b}$ jets$ Interpretability of an Interaction Network for identifying $H \rightarrow b\bar{b}$ jets Avik Roy Mark S. Neubauer 117 3 0 23 Nov 2022
Algorithmic Decision-Making Safeguarded by Human KnowledgeSocial Science Research Network (SSRN), 2022 Yi Xiong Mingya Hu Siyuan Li 116 5 0 20 Nov 2022
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models Gayda Mutahar Tim Miller FAtt 141 8 0 19 Nov 2022
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks Stephen Casper K. Hariharan Dylan Hadfield-Menell AAML 386 11 0 18 Nov 2022
Towards Explaining Subjective Ground of Individuals on Social MediaConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Younghun Lee Dan Goldwasser 221 2 0 18 Nov 2022
Explainability Via Causal Self-TalkNeural Information Processing Systems (NeurIPS), 2022 Nicholas A. Roy Junkyung Kim Neil C. Rabinowitz CML 192 8 0 17 Nov 2022
Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement Montgomery Flora Corey K. Potvin A. McGovern Shawn Handler FAtt 273 25 0 16 Nov 2022
(When) Are Contrastive Explanations of Reinforcement Learning Helpful? Sanjana Narayanan Isaac Lage Finale Doshi-Velez OffRL 68 1 0 14 Nov 2022
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Swarnadeep Saha Peter Hase Nazneen Rajani Joey Tianyi Zhou LRM 159 16 0 14 Nov 2022
Seamful XAI: Operationalizing Seamful Design in Explainable AI Upol Ehsan Q. V. Liao Samir Passi Mark O. Riedl Hal Daumé 215 34 0 12 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Weilong Dai XAI 472 2 0 12 Nov 2022
Social Construction of XAI: Do We Need One Definition to Rule Them All? Upol Ehsan Mark O. Riedl 126 10 0 11 Nov 2022
Behaviour Trees for Creating Conversational Explanation Experiences A. Wijekoon D. Corsar Nirmalie Wiratunga 120 3 0 11 Nov 2022
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning Danial Dervovic Nicolas Marchesotti Freddy Lecue Daniele Magazzeni 140 0 0 11 Nov 2022
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class ClassificationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 Yongbin Li Canran Xu Guodong Long Tao Shen Chongyang Tao Jing Jiang 248 2 0 11 Nov 2022