v1v2v3 (latest)

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
Algorithmic Recourse with Missing Values Kentaro Kanamori Takuya Takagi Ken Kobayashi Yuichi Ike 171 2 0 28 Apr 2023
Categorical Foundations of Explainable AI: A Unifying Theory Pietro Barbiero S. Fioravanti Francesco Giannini Alberto Tonda Pietro Lio Elena Di Lavore XAI 185 3 0 27 Apr 2023
Disagreement amongst counterfactual explanations: How transparency can be deceptive Dieter Brughmans Lissa Melis David Martens 160 5 0 25 Apr 2023
TIGTEC : Token Importance Guided TExt Counterfactuals Milan Bhan Jean-Noel Vittaut Nicolas Chesneau Marie-Jeanne Lesot 269 11 0 24 Apr 2023
Towards a Praxis for Intercultural Ethics in Explainable AI Chinasa T. Okolo 194 8 0 24 Apr 2023
SketchXAI: A First Look at Explainability for Human SketchesComputer Vision and Pattern Recognition (CVPR), 2023 Zhiyu Qu Yulia Gryaditskaya Ke Li Kaiyue Pang Tao Xiang Yi-Zhe Song 181 14 0 23 Apr 2023
An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face DetectionPattern Recognition Letters (PR), 2023 Rudresh Dwivedi Ritesh Kumar Deepak Chopra Pranay Kothari Manjot Singh CVBM AAML 138 12 0 23 Apr 2023
A Review of Deep Learning for Video CaptioningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Moloud Abdar Meenakshi Kollati Swaraja Kuraparthi Farhad Pourpanah Daniel J. McDuff ... Shuicheng Yan Abduallah A. Mohamed Abbas Khosravi Xiaoshi Zhong Fatih Porikli 3DV 209 35 0 22 Apr 2023
Trust and Reliance in Consensus-Based Explanations from an Anti-Misinformation Agent Takane Ueno Yeongdae Kim Hiroki Oura Katie Seaborn 126 10 0 22 Apr 2023
Semantics, Ontology and Explanation G. Guizzardi Nicola Guarino 94 9 0 21 Apr 2023
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical StudyEuropean Conference on Information Systems (ECIS), 2023 L. Herm 150 29 0 18 Apr 2023
Interactive and Explainable Region-guided Radiology Report GenerationComputer Vision and Pattern Recognition (CVPR), 2023 Tim Tanida Philip Muller Georgios Kaissis Daniel Rueckert MedIm 213 173 0 17 Apr 2023
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research PerspectiveAnnals of Operations Research (Ann. Oper. Res.), 2023 Nijat Mehdiyev Maxim Majlatow Peter Fettke 168 28 0 13 Apr 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 142 6 0 13 Apr 2023
Can Large Language Models Transform Computational Social Science?International Conference on Computational Logic (ICCL), 2023 Caleb Ziems William B. Held Omar Shaikh Jiaao Chen Zhehao Zhang Diyi Yang LLMAG 452 416 0 12 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023 M. Rubaiyat Hossain Mondal Prajoy Podder 240 111 0 10 Apr 2023
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI Ruoxi Qi Yueyuan Zheng Yi Yang Caleb Chen Cao J. H. Hsiao 147 6 0 10 Apr 2023
Explainable AI And Visual Reasoning: Insights From Radiology Rob Kaufman David Kirsh 146 8 0 06 Apr 2023
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic HarmInternational Conference on Human Factors in Computing Systems (CHI), 2023 Gabriel Lima Nina Grgić-Hlavca M. Cha 134 32 0 05 Apr 2023
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender SystemUser Modeling, Adaptation, and Personalization (UMAP), 2022 Mohamed Amine Chatti Mouadh Guesmi Laura Vorgerd Thao Ngo Shoeb Joarder Qurat Ul Ain Arham Muslim HAI 63 28 0 03 Apr 2023
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries Peter Du S. Murthy Katherine Driggs-Campbell 261 3 0 01 Apr 2023
Why is plausibility surprisingly problematic as an XAI criterion? Weina Jin Xiaoxiao Li Ghassan Hamarneh 343 10 0 30 Mar 2023
Interactive Explanations by Conflict Resolution via Argumentative ExchangesInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2023 Antonio Rago Hengzhi Li Francesca Toni 204 24 0 27 Mar 2023
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting V. Raykar Arindam Jati Sumanta Mukherjee Nupur Aggarwal Kanthi Kiran Sarpatwar Giridhar Ganapavarapu Roman Vaculin FAtt AI4TS 167 5 0 22 Mar 2023
A multidomain relational framework to guide institutional AI research and adoption Vince J. Straub Deborah Morgan Youmna Hashem John Francis Saba Esnaashari Jonathan Bright 179 11 0 17 Mar 2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and RisksAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 Yilun Zhou 269 0 0 17 Mar 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals Greta Warren Markt. Keane Christophe Guéret Eoin Delaney 133 15 0 16 Mar 2023
Integrating Temporality and Causality into Acyclic Argumentation Frameworks using a Transition System Y. Munro C. Sarmiento I. Bloch G. Bourgne Paris LRM 156 1 0 16 Mar 2023
Explaining Model Confidence Using CounterfactualsAAAI Conference on Artificial Intelligence (AAAI), 2023 Thao Le Tim Miller Ronal Singh L. Sonenberg 118 6 0 10 Mar 2023
Explainable Goal Recognition: A Framework Based on Weight of EvidenceInternational Conference on Automated Planning and Scheduling (ICAPS), 2023 Abeer Alshehri Tim Miller Mor Vered 164 4 0 09 Mar 2023
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Jasmina Gajcin Ivana Dusparic CML 131 6 0 08 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey Ehsan Emamirad Pouya Ghiasnezhad Omran A. Haller S. Gregor 153 1 0 06 Mar 2023
On Modifying a Neural Network's Perception Manuel de Sousa Ribeiro João Leite AAML 132 1 0 05 Mar 2023
DeepLens: Interactive Out-of-distribution Data Detection in NLP ModelsInternational Conference on Human Factors in Computing Systems (CHI), 2023 D. Song Zhijie Wang Yuheng Huang Lei Ma Tianyi Zhang 127 8 0 02 Mar 2023
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design ToolsInternational Conference on Human Factors in Computing Systems (CHI), 2023 Frederic Gmeiner Humphrey Yang Weitong Chen Kenneth Holstein Nikolas Martelaro AI4CE 177 89 0 01 Mar 2023
PACCART: Reinforcing Trust in Multiuser Privacy Agreement SystemsAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Daan Di Scala P. Yolum 85 4 0 27 Feb 2023
CrystalBox: Future-Based Explanations for Input-Driven Deep RL SystemsAAAI Conference on Artificial Intelligence (AAAI), 2023 Sagar Patel Sangeetha Abdu Jyothi Nina Narodytska OffRL 224 1 0 27 Feb 2023
MDF-Net for abnormality detection by fusing X-rays with clinical dataScientific Reports (Sci Rep), 2023 Chih-Jou Hsieh Isabel Blanco Nobre Sandra Costa Sousa Chun Ouyang M. Brereton Jacinto C. Nascimento Joaquim A. Jorge Catarina Moreira 201 14 0 26 Feb 2023
GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual ExplanationsAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Tobias Huber Maximilian Demmler Silvan Mertes Matthew Lyle Olson Elisabeth André 263 22 0 24 Feb 2023
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision supportConference on Fairness, Accountability and Transparency (FAccT), 2023 Tim Miller 373 156 0 24 Feb 2023
Causal Explanations for Sequential Decision-Making in Multi-Agent SystemsAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Bálint Gyevnár Chenghe Wang Christopher G. Lucas Shay B. Cohen Stefano V. Albrecht CML 317 15 0 21 Feb 2023
Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act?European Conference on Artificial Intelligence (ECAI), 2023 Bálint Gyevnár Nick Ferguson Burkhard Schafer 287 28 0 21 Feb 2023
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If ExplorationsInternational Conference on Intelligent User Interfaces (IUI), 2023 Aditya Bhattacharya Jeroen Ooge Gregor Stiglic K. Verbert 160 45 0 21 Feb 2023
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User ExperienceInternational Conference on Human Factors in Computing Systems (CHI), 2023 Q. V. Liao Hariharan Subramonyam Jennifer Wang Jennifer Wortman Vaughan HAI 222 77 0 21 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 502 5 0 17 Feb 2023
On the Impact of Explanations on Understanding of Algorithmic Decision-MakingConference on Fairness, Accountability and Transparency (FAccT), 2023 Timothée Schmude Laura M. Koesten Torsten Moller Sebastian Tschiatschek 276 20 0 16 Feb 2023
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness settingEuropean Conference on Artificial Intelligence (ECAI), 2023 Giandomenico Cornacchia Vito Walter Anelli Fedelucio Narducci Azzurra Ragone E. Sciascio MLAU FaML 118 2 0 16 Feb 2023
A novel approach to generate datasets with XAI ground truth to evaluate image models Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 308 4 0 11 Feb 2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 239 9 0 10 Feb 2023
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 351 21 0 08 Feb 2023