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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"

50 / 1,335 papers shown

Title
Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space Param S. Rajpura H. Cecotti Y. Meena 193 20 0 20 Dec 2023
Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity with Interpretability Shuli Wang Kun Gao Lanfang Zhang Yang Liu Lei Chen 188 8 0 19 Dec 2023
Explaining Reinforcement Learning Agents Through Counterfactual Action Outcomes Yotam Amitai Yael Septon Ofra Amir CML 200 14 0 18 Dec 2023
The Pros and Cons of Adversarial Robustness Yacine Izza Sasha Rubin AAML 177 1 0 18 Dec 2023
The Metacognitive Demands and Opportunities of Generative AI Lev Tankelevitch Viktor Kewenig Auste Simkute A. E. Scott Advait Sarkar Abigail Sellen Sean Rintel AI4CE 257 191 0 18 Dec 2023
Evaluative Item-Contrastive Explanations in RankingsCognitive Computation (Cogn. Comput.), 2023 Alessandro Castelnovo Riccardo Crupi Nicolo Mombelli Gabriele Nanino D. Regoli XAI ELM 155 4 0 14 Dec 2023
Clash of the Explainers: Argumentation for Context-Appropriate Explanations Leila Methnani Virginia Dignum Andreas Theodorou 69 1 0 12 Dec 2023
Anytime Approximate Formal Feature AttributionInternational Conference on Theory and Applications of Satisfiability Testing (SAT), 2023 Jinqiang Yu Graham Farr Alexey Ignatiev Peter Stuckey 274 5 0 12 Dec 2023
"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming Connor Lawless Jakob Schoeffer Lindy Le Kael Rowan Shilad Sen Cristina St. Hill Jina Suh Bahar Sarrafzadeh 270 24 0 12 Dec 2023
Explain To Decide: A Human-Centric Review on the Role of Explainable Artificial Intelligence in AI-assisted Decision Making Milad Rogha 150 1 0 11 Dec 2023
Is Feedback All You Need? Leveraging Natural Language Feedback in Goal-Conditioned Reinforcement Learning Sabrina McCallum Max Taylor-Davies Stefano V. Albrecht Alessandro Suglia 180 3 0 07 Dec 2023
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization Wei Liu Yining Qi Jun Wang Zhiying Deng Yuankai Zhang Chengwei Wang Ruixuan Li 194 16 0 07 Dec 2023
Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation DifferencesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Eleftheria Briakou Navita Goyal Marine Carpuat 256 7 0 04 Dec 2023
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation Xijia Zhang Yue (Sophie) Guo Simon Stepputtis Katia Sycara Joseph Campbell LLMAG LM&Ro 185 2 0 29 Nov 2023
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI PlanningAAAI Conference on Artificial Intelligence (AAAI), 2023 Turgay Caglar Sirine Belhaj Tathagata Chakraborti Michael Katz S. Sreedharan LRM LLMAG 208 8 0 22 Nov 2023
Trustworthy AI: Deciding What to Decide Caesar Wu Yuan-Fang Li Jian Li Jingjing Xu Pascal Bouvry 130 3 0 21 Nov 2023
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 382 1 0 20 Nov 2023
The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond Abigail Sellen Eric Horvitz 140 31 0 16 Nov 2023
Forms of Understanding for XAI-Explanations Hendrik Buschmeier H. M. Buhl Friederike Kern Angela Grimminger Helen Beierling ... Lutz Terfloth Anna-Lisa Vollmer Yu Wang Annedore Wilmes Britta Wrede XAI 133 10 0 15 Nov 2023
Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Zilu Tang Mayank Agarwal Alex Shypula Bailin Wang Derry Wijaya Jie Chen Yoon Kim LRM 211 21 0 13 Nov 2023
Is Machine Learning Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsidering from Recidivism Prediction TasksAsian journal of Criminology (Asian J Criminol), 2023 Jianhong Liu D. Li 161 4 0 11 Nov 2023
On the Multiple Roles of Ontologies in Explainable AI Roberto Confalonieri G. Guizzardi 114 10 0 08 Nov 2023
Extracting human interpretable structure-property relationships in chemistry using XAI and large language models Siddharth Narayanan Philippe Schwaller 117 9 0 07 Nov 2023
Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations Datasets Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover XAI 322 21 0 03 Nov 2023
Notion of Explainable Artificial Intelligence -- An Empirical Investigation from A Users PerspectiveEuropean Conference on Information Systems (ECIS), 2023 A. Haque A. Najmul Islam Patrick Mikalef 139 2 0 01 Nov 2023
Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software (Onward!), 2023 Advait Sarkar 163 25 0 01 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research DirectionsInformation Fusion (Inf. Fusion), 2023 Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 436 354 0 30 Oct 2023
"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative GenerationBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2023 Antoine Chaffin Julien Delaunay 155 0 0 27 Oct 2023
On General Language UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 David Schlangen 208 1 0 27 Oct 2023
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical ErrorsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Nikita Mehandru Sweta Agrawal Yimin Xiao Elaine C. Khoong Ge Gao Marine Carpuat Niloufar Salehi 171 21 0 25 Oct 2023
Human-centred explanation of rule-based decision-making systems in the legal domainInternational Conference on Legal Knowledge and Information Systems (JURIX), 2023 Suzan Zuurmond AnneMarie Borg M. V. Kempen Remi Wieten 52 1 0 25 Oct 2023
On the stability, correctness and plausibility of visual explanation methods based on feature importanceInternational Conference on Content-Based Multimedia Indexing (CBMI), 2023 Romain Xu-Darme Jenny Benois-Pineau R. Giot Georges Quénot Zakaria Chihani M. Rousset Alexey Zhukov XAI FAtt 258 2 0 25 Oct 2023
Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph Giacomo Balloccu Ludovico Boratto Christian Cancedda Gianni Fenu Mirko Marras 141 10 0 25 Oct 2023
The WHY in Business Processes: Discovery of Causal Execution Dependencies Fabiana Fournier Lior Limonad Inna Skarbovsky Yuval David 164 8 0 23 Oct 2023
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series ClassificationInternational Conference on Machine Learning and Applications (ICMLA), 2023 Jacqueline Höllig Steffen Thoma Florian Grimm AI4TS 228 2 0 23 Oct 2023
Explainable Depression Symptom Detection in Social Media Eliseo Bao Souto Anxo Perez Javier Parapar 207 15 0 20 Oct 2023
Generating collective counterfactual explanations in score-based classification via mathematical optimization E. Carrizosa Jasone Ramírez-Ayerbe Dolores Romero Morales 200 23 0 19 Oct 2023
Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly WrongNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 Chenglei Si Navita Goyal Sherry Tongshuang Wu Chen Zhao Shi Feng Hal Daumé Jordan L. Boyd-Graber LRM 370 57 0 19 Oct 2023
Rather a Nurse than a Physician -- Contrastive Explanations under InvestigationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Oliver Eberle Ilias Chalkidis Laura Cabello Stephanie Brandl 177 14 0 18 Oct 2023
Scene Text Recognition Models Explainability Using Local Features M. Ty Rowel Atienza 174 2 0 14 Oct 2023
An Information Bottleneck Characterization of the Understanding-Workload TradeoffConference on Fairness, Accountability and Transparency (FAccT), 2023 Lindsay M. Sanneman Mycal Tucker Julie A. Shah 202 5 0 11 Oct 2023
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Nils Feldhus Qianli Wang Tatiana Anikina Sahil Chopra Cennet Oguz Sebastian Möller 274 18 0 09 Oct 2023
Unpacking Human-AI Interaction in Safety-Critical Industries: A Systematic Literature ReviewIEEE Access (IEEE Access), 2023 T. A. Bach Jenny K. Kristiansen Aleksandar Babic Alon Jacovi 191 18 0 05 Oct 2023
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral UnmixingIEEE Transactions on Computational Imaging (IEEE Trans. Comput. Imaging), 2023 R. Borsoi Deniz Erdoğmuş Tales Imbiriba 184 9 0 03 Oct 2023
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations Asiful Arefeen Hassan Ghasemzadeh 179 5 0 02 Oct 2023
Refutation of Shapley Values for XAI -- Additional Evidence Xuanxiang Huang Sasha Rubin AAML 257 4 0 30 Sep 2023
Dynamic Interpretability for Model Comparison via Decision Rules Adam Rida Marie-Jeanne Lesot Junsheng Wang Liyan Zhang 106 0 0 29 Sep 2023
Tell Me a Story! Narrative-Driven XAI with Large Language ModelsDecision Support Systems (DSS), 2023 David Martens James Hinns Camille Dams Mark Vergouwen Theodoros Evgeniou 272 15 0 29 Sep 2023
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented SystemsInternational Conference on Service Oriented Computing (ICSOC), 2023 Andreas Metzger Jon Bartel Jan Laufer 168 6 0 25 Sep 2023
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network ExplainabilityInternational journal of human computer interactions (IJHCI), 2023 Tong Zhang Xiaoyu Yang Boyang Albert Li 251 4 0 25 Sep 2023