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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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Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable RepresentationsInternational Conference on Learning Representations (ICLR), 2020 S. Sreedharan Utkarsh Soni Mudit Verma Siddharth Srivastava S. Kambhampati 502 37 0 04 Feb 2020
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User StudyInternational Conference on Intelligent User Interfaces (IUI), 2020 Ahmed Alqaraawi M. Schuessler Philipp Weiß Enrico Costanza N. Bianchi-Berthouze AAML FAtt XAI 217 211 0 03 Feb 2020
Distal Explanations for Model-free Explainable Reinforcement Learning Prashan Madumal Tim Miller L. Sonenberg F. Vetere FAtt LRM 178 26 0 28 Jan 2020
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency Kacper Sokol Peter A. Flach 139 189 0 27 Jan 2020
Adequate and fair explanationsInternational Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2020 Nicholas M. Asher Soumya Paul Chris Russell 153 10 0 21 Jan 2020
Towards Social Identity in Socio-Cognitive Agents Diogo Rato S. Mascarenhas R. Prada 95 15 0 20 Jan 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging AnalysisInternational Conference on Human Factors in Computing Systems (CHI), 2020 Yao Xie Melody Chen David Kao Ge Gao Xiang Ánthony' Chen 346 140 0 15 Jan 2020
Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based SystemsInternational Conference on Human Factors in Computing Systems (CHI), 2020 C. E. Smith Bowen Yu Anjali Srivastava Aaron L Halfaker Loren G. Terveen Haiyi Zhu KELM 186 75 0 14 Jan 2020
Questioning the AI: Informing Design Practices for Explainable AI User ExperiencesInternational Conference on Human Factors in Computing Systems (CHI), 2020 Q. V. Liao D. Gruen Sarah Miller 484 807 0 08 Jan 2020
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making Yunfeng Zhang Q. V. Liao Rachel K. E. Bellamy 352 782 0 07 Jan 2020
A New Approach for Explainable Multiple Organ Annotation with Few DataInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Régis Pierrard Jean-Philippe Poli C´eline Hudelot 88 8 0 30 Dec 2019
Teaching Responsible Data Science: Charting New Pedagogical TerritoryInternational Journal of Artificial Intelligence in Education (IJAIED), 2019 Julia Stoyanovich Armanda Lewis 134 39 0 23 Dec 2019
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and LimitationsArtificial Intelligence (AI), 2019 Pedro Sequeira Melinda Gervasio 301 115 0 19 Dec 2019
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group) Zied Bouraoui Antoine Cornuéjols Thierry Denoeux Sebastien Destercke Didier Dubois ... Jérôme Mengin H. Prade Steven Schockaert M. Serrurier Christel Vrain 231 14 0 13 Dec 2019
Improved Explanatory Efficacy on Human Affect and Workload through Interactive Process in Artificial IntelligenceIEEE Access (IEEE Access), 2019 Byung Hyung Kim Seunghun Koh Sejoon Huh Sungho Jo Sunghee Choi 81 13 0 13 Dec 2019
Understanding complex predictive models with Ghost VariablesTest (Madrid) (TM), 2019 Pedro Delicado D. Peña FAtt 110 6 0 13 Dec 2019
Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches Kacper Sokol Peter A. Flach XAI 257 331 0 11 Dec 2019
An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists Michael A. Katell Meg Young Bernease Herman Dharma Dailey Aaron Tam Vivian Guetler Corinne Binz Daniella Raz P. Krafft MLAU 88 6 0 06 Dec 2019
Counterfactual Explanation Algorithms for Behavioral and Textual DataAdvances in Data Analysis and Classification (ADAC), 2019 Yanou Ramon David Martens F. Provost Theodoros Evgeniou FAtt 188 93 0 04 Dec 2019
A psychophysics approach for quantitative comparison of interpretable computer vision models F. Biessmann D. Refiano 158 5 0 24 Nov 2019
Towards Quantification of Explainability in Explainable Artificial Intelligence MethodsThe Florida AI Research Society (FLAIRS), 2019 Sheikh Rabiul Islam W. Eberle S. Ghafoor XAI 171 46 0 22 Nov 2019
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and ResponseAAAI Spring Symposium Combining Machine Learning with Knowledge Engineering (CMLKE), 2019 Sheikh Rabiul Islam W. Eberle S. Ghafoor Ambareen Siraj Mike Rogers 185 44 0 22 Nov 2019
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning M. Sendak M. C. Elish M. Gao Joseph D. Futoma W. Ratliff M. Nichols A. Bedoya S. Balu Cara O'Brien HAI 203 185 0 19 Nov 2019
LIBRE: Learning Interpretable Boolean Rule EnsemblesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Graziano Mita Paolo Papotti Maurizio Filippone Pietro Michiardi 102 15 0 15 Nov 2019
Understanding Multi-Head Attention in Abstractive Summarization Joris Baan Maartje ter Hoeve M. V. D. Wees Anne Schuth Maarten de Rijke AAML 112 23 0 10 Nov 2019
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive ArgumentsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 D. Atkinson K. Srinivasan Chenhao Tan 228 17 0 01 Nov 2019
Mathematical decisions and non-causal elements of explainable AI Atoosa Kasirzadeh 80 2 0 30 Oct 2019
Weight of Evidence as a Basis for Human-Oriented Explanations David Alvarez-Melis Hal Daumé Jennifer Wortman Vaughan Hanna M. Wallach XAI FAtt 193 22 0 29 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIInformation Fusion (Inf. Fusion), 2019 Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 778 7,393 0 22 Oct 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainabilityNeural Information Processing Systems (NeurIPS), 2019 Christopher Frye C. Rowat Ilya Feige 275 209 0 14 Oct 2019
The Quest for Interpretable and Responsible Artificial Intelligence Vaishak Belle 76 4 0 10 Oct 2019
AI for Explaining Decisions in Multi-Agent EnvironmentsAAAI Conference on Artificial Intelligence (AAAI), 2019 Sarit Kraus A. Azaria J. Fiosina Maike Greve Noam Hazon L. Kolbe Tim-Benjamin Lembcke J. P. Müller Sören Schleibaum M. Vollrath 197 43 0 10 Oct 2019
Keeping Designers in the Loop: Communicating Inherent Algorithmic Trade-offs Across Multiple Objectives Bowen Yu Ye Yuan Loren G. Terveen Zhiwei Steven Wu Jodi Forlizzi Haiyi Zhu 186 2 0 07 Oct 2019
Enriching Visual with Verbal Explanations for Relational Concepts -- Combining LIME with Aleph Johannes Rabold Hannah Deininger M. Siebers Ute Schmid FAtt 146 60 0 04 Oct 2019
REDS: Rule Extraction for Discovering Scenarios Vadim Arzamasov Klemens Böhm 142 7 0 03 Oct 2019
The Bouncer Problem: Challenges to Remote Explainability Erwan Le Merrer Gilles Tredan 185 9 0 03 Oct 2019
MonoNet: Towards Interpretable Models by Learning Monotonic Features An-phi Nguyen María Rodríguez Martínez FAtt 147 15 0 30 Sep 2019
FACE: Feasible and Actionable Counterfactual ExplanationsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2019 Rafael Poyiadzi Kacper Sokol Raúl Santos-Rodríguez T. D. Bie Peter A. Flach 264 415 0 20 Sep 2019
Towards Explainable Neural-Symbolic Visual Reasoning Adrien Bennetot J. Laurent Raja Chatila Natalia Díaz Rodríguez XAI 124 1 0 19 Sep 2019
Learning Invariants through Soft UnificationNeural Information Processing Systems (NeurIPS), 2019 Nuri Cingillioglu A. Russo NAI 87 2 0 16 Sep 2019
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust Arjun Reddy Akula Changsong Liu Sari Saba-Sadiya Hongjing Lu S. Todorovic J. Chai Song-Chun Zhu 136 20 0 15 Sep 2019
Towards A Robot Explanation System: A Survey and Our Approach to State Summarization, Storage and Querying, and Human Interface Zhao Han Jordan Allspaw Adam Norton Holly Yanco 96 7 0 13 Sep 2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques Vijay Arya Rachel K. E. Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind ... Karthikeyan Shanmugam Moninder Singh Kush R. Varshney Dennis L. Wei Yunfeng Zhang XAI 216 429 0 06 Sep 2019
Optimizing for Interpretability in Deep Neural Networks with Tree RegularizationJournal of Artificial Intelligence Research (JAIR), 2019 Mike Wu S. Parbhoo M. C. Hughes Volker Roth Finale Doshi-Velez AI4CE 149 32 0 14 Aug 2019
Towards Explainable AI Planning as a Service Michael Cashmore Anna Collins Benjamin Krarup Senka Krivic Daniele Magazzeni David Smith 126 52 0 14 Aug 2019
Regional Tree Regularization for Interpretability in Black Box ModelsAAAI Conference on Artificial Intelligence (AAAI), 2019 Mike Wu S. Parbhoo M. C. Hughes R. Kindle Leo Anthony Celi Maurizio Zazzi Volker Roth Finale Doshi-Velez 215 41 0 13 Aug 2019
Measurable Counterfactual Local Explanations for Any ClassifierEuropean Conference on Artificial Intelligence (ECAI), 2019 Adam White Artur Garcez FAtt 185 106 0 08 Aug 2019
How model accuracy and explanation fidelity influence user trustInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 A. Papenmeier G. Englebienne C. Seifert FaML 96 124 0 26 Jul 2019
Aggregation in Value-Based Argumentation FrameworksTheoretical Aspects of Rationality and Knowledge (TARK), 2019 Grzegorz Lisowski S. Doutre Umberto Grandi 71 1 0 22 Jul 2019
User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features Ankit Gupta 54 0 0 18 Jul 2019