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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
Why Does My Model Fail? Contrastive Local Explanations for Retail Forecasting Ana Lucic H. Haned Maarten de Rijke 235 72 0 17 Jul 2019
Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications R. Brandão J. Carbonera C. D. Souza J. Ferreira Bernardo Gonçalves C. Leitão 111 12 0 16 Jul 2019
Saliency Maps Generation for Automatic Text Summarization David Tuckey Krysia Broda A. Russo FAtt 116 3 0 12 Jul 2019
Explaining Predictions from Tree-based Boosting Ensembles Ana Lucic H. Haned Maarten de Rijke FAtt 101 5 0 04 Jul 2019
Explaining Deep Learning Models with Constrained Adversarial ExamplesPacific Rim International Conference on Artificial Intelligence (PRICAI), 2019 J. Moore Nils Y. Hammerla C. Watkins AAML GAN 125 44 0 25 Jun 2019
Generating Counterfactual and Contrastive Explanations using SHAP Shubham Rathi 148 64 0 21 Jun 2019
Machine Learning Testing: Survey, Landscapes and HorizonsIEEE Transactions on Software Engineering (TSE), 2019 Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 244 814 0 19 Jun 2019
Trepan Reloaded: A Knowledge-driven Approach to Explaining Artificial Neural NetworksEuropean Conference on Artificial Intelligence (ECAI), 2019 R. Confalonieri Tillman Weyde Tarek R. Besold Fermín Moscoso del Prado Martín 161 25 0 19 Jun 2019
Incorporating Priors with Feature Attribution on Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 Frederick Liu Besim Avci FAtt FaML 268 125 0 19 Jun 2019
Understanding artificial intelligence ethics and safetySocial Science Research Network (SSRN), 2019 David Leslie FaML AI4TS 146 426 0 11 Jun 2019
Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning Noel Codella Michael Hind Karthikeyan N. Ramamurthy Murray Campbell Amit Dhurandhar Kush R. Varshney Dennis L. Wei Aleksandra Mojsilović 116 4 0 05 Jun 2019
A hybrid machine learning framework for analyzing human decision making through learning preferences Mengzhuo Guo Qingpeng Zhang Xiuwu Liao Youhua Chen Daniel Dajun Zeng 213 8 0 04 Jun 2019
Exploring Computational User Models for Agent Policy SummarizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Isaac Lage Daphna Lifschitz Finale Doshi-Velez Ofra Amir LLMAG 129 76 0 30 May 2019
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approachAnnals of Applied Statistics (AOAS), 2019 Falco J. Bargagli-Stoffi Kristof De-Witte G. Gnecco 164 17 0 29 May 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling Emmanuel Noutahi Dominique Beaini Julien Horwood Sébastien Giguère Prudencio Tossou AI4CE 356 41 0 28 May 2019
Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction Sheikh Rabiul Islam W. Eberle Sid Bundy S. Ghafoor MLAU 151 23 0 27 May 2019
Explainable Reinforcement Learning Through a Causal LensAAAI Conference on Artificial Intelligence (AAAI), 2019 Prashan Madumal Tim Miller L. Sonenberg F. Vetere CML 244 388 0 27 May 2019
Explainable Machine Learning for Scientific Insights and DiscoveriesIEEE Access (IEEE Access), 2019 R. Roscher B. Bohn Marco F. Duarte Jochen Garcke XAI 356 774 0 21 May 2019
Contrastive Fairness in Machine Learning Tapabrata (Rohan) Chakraborty A. Patra Alison Noble FaML 359 8 0 17 May 2019
How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR TwinsInternational Conference on Case-Based Reasoning (ICCBR), 2019 Mark T. Keane Eoin M. Kenny 178 91 0 17 May 2019
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End UseMachine Learning in Health Care (MLHC), 2019 S. Tonekaboni Shalmali Joshi M. Mccradden Anna Goldenberg 231 494 0 13 May 2019
Minimalistic Explanations: Capturing the Essence of Decisions M. Schuessler Philipp Weiß FAtt 64 5 0 08 May 2019
Explainability in Human-Agent Systems A. Rosenfeld A. Richardson XAI 186 224 0 17 Apr 2019
A Categorisation of Post-hoc Explanations for Predictive Models John Mitros Brian Mac Namee XAI CML 82 3 0 04 Apr 2019
VINE: Visualizing Statistical Interactions in Black Box Models M. Britton FAtt 103 24 0 01 Apr 2019
Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planning S. Sreedharan Tathagata Chakraborti Christian Muise S. Kambhampati 139 21 0 18 Mar 2019
Model-Free Model ReconciliationInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 S. Sreedharan Alberto Olmo Hernandez A. Mishra S. Kambhampati 106 35 0 17 Mar 2019
Online Explanation Generation for Human-Robot Teaming Mehrdad Zakershahrak Ze Gong Nikhillesh Sadassivam Yu Zhang 173 11 0 15 Mar 2019
Natural Language Interaction with Explainable AI Models Arjun Reddy Akula S. Todorovic J. Chai Song-Chun Zhu 220 23 0 13 Mar 2019
Physics Enhanced Artificial Intelligence Patrick O'Driscoll Jaehoon Lee Bo Fu 124 4 0 11 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 575 1,606 0 10 Mar 2019
Explaining Anomalies Detected by Autoencoders Using SHAP Liat Antwarg Ronnie Mindlin Miller Bracha Shapira Lior Rokach FAtt TDI 199 97 0 06 Mar 2019
A Grounded Interaction Protocol for Explainable Artificial IntelligenceAdaptive Agents and Multi-Agent Systems (AAMAS), 2019 Prashan Madumal Tim Miller L. Sonenberg F. Vetere 151 104 0 05 Mar 2019
Outlining the Design Space of Explainable Intelligent Systems for Medical Diagnosis Yao Xie Ge Gao Xiang Ánthony' Chen 181 43 0 16 Feb 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI Shane T. Mueller R. Hoffman W. Clancey Abigail Emrey Gary Klein XAI 213 304 0 05 Feb 2019
Learning Decision Trees Recurrently Through Communication Stephan Alaniz Diego Marcos Bernt Schiele Zeynep Akata 135 16 0 05 Feb 2019
Progressive Explanation Generation for Human-robot Teaming Yu Zhang Mehrdad Zakershahrak LRM 143 5 0 02 Feb 2019
On the (In)fidelity and Sensitivity for Explanations Chih-Kuan Yeh Cheng-Yu Hsieh A. Suggala David I. Inouye Pradeep Ravikumar FAtt 287 520 0 27 Jan 2019
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment Jonathan Dodge Q. V. Liao Yunfeng Zhang Rachel K. E. Bellamy Casey Dugan FaML 140 143 0 23 Jan 2019
Quantifying Interpretability and Trust in Machine Learning Systems Philipp Schmidt F. Biessmann 135 127 0 20 Jan 2019
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions Upol Ehsan Pradyumna Tambwekar Larry Chan Brent Harrison Mark O. Riedl 193 262 0 11 Jan 2019
Personalized explanation in machine learning: A conceptualization J. Schneider J. Handali XAI FAtt 287 18 0 03 Jan 2019
Efficient Search for Diverse Coherent Explanations Chris Russell 170 256 0 02 Jan 2019
Complementary reinforcement learning towards explainable agents J. H. Lee 117 12 0 01 Jan 2019
LEAFAGE: Example-based and Feature importance-based Explanationsfor Black-box ML models Ajaya Adhikari David Tax R. Satta M. Faeth FAtt 171 11 0 21 Dec 2018
Representation, Justification and Explanation in a Value Driven Agent: An Argumentation-Based Approach B. Liao Michael Anderson S. Anderson 144 19 0 13 Dec 2018
The Jiminy Advisor: Moral Agreements Among Stakeholders Based on Norms and Argumentation B. Liao Pere Pardo Marija Slavkovik Leendert van der Torre 181 12 0 11 Dec 2018
Metrics for Explainable AI: Challenges and Prospects R. Hoffman Shane T. Mueller Gary Klein Jordan Litman XAI 280 821 0 11 Dec 2018
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems Sina Mohseni Niloofar Zarei Eric D. Ragan 384 103 0 28 Nov 2018
State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers Elias Baumann J. L. Rumberger FaML 123 4 0 20 Nov 2018