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
Explanations of Black-Box Model Predictions by Contextual Importance and Utility S. Anjomshoae Kary Främling A. Najjar 28 31 0 30 May 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 28 267 0 29 May 2020
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers Kevin Fauvel Véronique Masson Elisa Fromont AI4TS 44 17 0 29 May 2020
Who is this Explanation for? Human Intelligence and Knowledge Graphs for eXplainable AI I. Celino 22 5 0 27 May 2020
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI) Mark T. Keane Barry Smyth CML 19 145 0 26 May 2020
The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report Daniel Sonntag Fabrizio Nunnari H. Profitlich 23 12 0 19 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 21 64 0 18 May 2020
Explainable Reinforcement Learning: A Survey Erika Puiutta Eric M. S. P. Veith XAI 17 239 0 13 May 2020
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification Kevin Fauvel Elisa Fromont Véronique Masson P. Faverdin Alexandre Termier AI4TS 33 41 0 07 May 2020
Towards the Role of Theory of Mind in Explanation Maayan Shvo Toryn Q. Klassen Sheila A. McIlraith 21 28 0 06 May 2020
An Investigation of COVID-19 Spreading Factors with Explainable AI Techniques Xiuyi Fan Siyuan Liu Jiarong Chen T. Henderson 8 7 0 05 May 2020
A multi-component framework for the analysis and design of explainable artificial intelligence S. Atakishiyev H. Babiker Nawshad Farruque R. Goebel1 Myeongjung Kima M. H. Motallebi J. Rabelo T. Syed O. R. Zaïane 46 35 0 05 May 2020
Robotic Self-Assessment of Competence Gertjan J. Burghouts A. Huizing Mark Antonius Neerincx 11 7 0 04 May 2020
To Test Machine Comprehension, Start by Defining Comprehension Jesse Dunietz Greg Burnham Akash Bharadwaj Owen Rambow Jennifer Chu-Carroll D. Ferrucci FaML 54 65 0 04 May 2020
Autoencoders for strategic decision support Sam Verboven Jeroen Berrevoets Chris Wuytens Bart Baesens Wouter Verbeke 18 10 0 03 May 2020
Rationalizing Medical Relation Prediction from Corpus-level Statistics Zhen Wang Jennifer A Lee Simon M. Lin Huan Sun OOD 16 4 0 02 May 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 24 44 0 01 May 2020
Hide-and-Seek: A Template for Explainable AI Thanos Tagaris A. Stafylopatis 14 6 0 30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 52 371 0 30 Apr 2020
The Explanation Game: Towards Prediction Explainability through Sparse Communication Marcos Vinícius Treviso André F. T. Martins FAtt 30 3 0 28 Apr 2020
A Disentangling Invertible Interpretation Network for Explaining Latent Representations Patrick Esser Robin Rombach Bjorn Ommer 14 86 0 27 Apr 2020
Tradeoff-Focused Contrastive Explanation for MDP Planning Roykrong Sukkerd R. Simmons David Garlan 6 27 0 27 Apr 2020
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation Bozhi Wu Sen Chen Cuiyun Gao Lingling Fan Yang Liu W. Wen Michael R. Lyu 34 55 0 24 Apr 2020
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs Sungsoo Ray Hong Jessica Hullman E. Bertini HAI 22 191 0 23 Apr 2020
Explainable Image Classification with Evidence Counterfactual T. Vermeire David Martens FAtt 11 0 0 16 Apr 2020
Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming Mehrdad Zakershahrak Shashank Rao Marpally Akshay Sharma Ze Gong Yu Zhang LRM 27 7 0 16 Apr 2020
Improved Code Summarization via a Graph Neural Network Alexander LeClair S. Haque Lingfei Wu Collin McMillan 24 283 0 06 Apr 2020
Improving Confidence in the Estimation of Values and Norms Luciano Cavalcante Siebert Rijk Mercuur Virginia Dignum J. van den Hoven Catholijn M. Jonker 16 0 0 02 Apr 2020
Applying Transparency in Artificial Intelligence based Personalization Systems Laura Schelenz A. Segal Y. Gal 22 9 0 02 Apr 2020
Unification-based Reconstruction of Multi-hop Explanations for Science Questions Marco Valentino Mokanarangan Thayaparan André Freitas 16 8 0 31 Mar 2020
Artificial Intelligence for EU Decision-Making. Effects on Citizens Perceptions of Input, Throughput and Output Legitimacy C. Starke Marco Luenich 6 3 0 25 Mar 2020
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications Kaiping Zheng Shaofeng Cai H. Chua Wei Wang K. Ngiam Beng Chin Ooi AI4TS 21 26 0 24 Mar 2020
Towards Explainability of Machine Learning Models in Insurance Pricing Kevin Kuo Danielle L. Lupton 47 13 0 24 Mar 2020
Interpretable machine learning models: a physics-based view Ion Matei Johan de Kleer C. Somarakis R. Rai John S. Baras PINN AI4CE 26 1 0 22 Mar 2020
Adversarial Robustness on In- and Out-Distribution Improves Explainability Maximilian Augustin Alexander Meinke Matthias Hein OOD 80 99 0 20 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 51 82 0 17 Mar 2020
Directions for Explainable Knowledge-Enabled Systems Shruthi Chari Daniel Gruen Oshani Seneviratne D. McGuinness XAI 21 32 0 17 Mar 2020
Foundations of Explainable Knowledge-Enabled Systems Shruthi Chari Daniel Gruen Oshani Seneviratne D. McGuinness 44 28 0 17 Mar 2020
Towards Transparent Robotic Planning via Contrastive Explanations Shenghui Chen Kayla Boggess Lu Feng 20 9 0 16 Mar 2020
Explainable Agents Through Social Cues: A Review Sebastian Wallkötter Silvia Tulli Ginevra Castellano Ana Paiva Mohamed Chetouani 25 13 0 11 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 32 213 0 09 Mar 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 59 93 0 05 Mar 2020
AI-Mediated Exchange Theory Xiao Ma Taylor W. Brown 9 9 0 04 Mar 2020
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis Andrea Morichetta P. Casas Marco Mellia 18 55 0 03 Mar 2020
Evidence-based explanation to promote fairness in AI systems J. Ferreira Mateus de Souza Monteiro FaML 30 5 0 03 Mar 2020
A general framework for scientifically inspired explanations in AI David Tuckey A. Russo Krysia Broda 12 0 0 02 Mar 2020
Do ML Experts Discuss Explainability for AI Systems? A discussion case in the industry for a domain-specific solution J. Ferreira Mateus de Souza Monteiro 22 7 0 27 Feb 2020
The Emerging Landscape of Explainable AI Planning and Decision Making Tathagata Chakraborti S. Sreedharan S. Kambhampati 35 112 0 26 Feb 2020
Problems with Shapley-value-based explanations as feature importance measures Indra Elizabeth Kumar Suresh Venkatasubramanian C. Scheidegger Sorelle A. Friedler TDI FAtt 22 360 0 25 Feb 2020
The Pragmatic Turn in Explainable Artificial Intelligence (XAI) Andrés Páez 27 191 0 22 Feb 2020