Explanation in Artificial Intelligence: Insights from the Social Sciences

22 June 2017

Papers citing "Explanation in Artificial Intelligence: Insights from the Social Sciences"

50 / 1,242 papers shown

Title
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model Mohsen Abbaspour Onari Isel Grau M. S. Nobile Yingqian Zhang 27 1 0 15 Jul 2023
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations Emanuele Albini Shubham Sharma Saumitra Mishra Danial Dervovic Daniele Magazzeni FAtt 48 2 0 13 Jul 2023
Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoring Andreas Metzger Tristan Kley Aristide Rothweiler Klaus Pohl 42 2 0 12 Jul 2023
Utilising Explanations to Mitigate Robot Conversational Failures Dimosthenis Kontogiorgos 13 1 0 10 Jul 2023
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems Andreas Metzger Jan Laufer Felix Feit Klaus Pohl OffRL OnRL 24 1 0 09 Jul 2023
On Formal Feature Attribution and Its Approximation Jinqiang Yu Alexey Ignatiev Peter Stuckey 41 8 0 07 Jul 2023
Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research Toygar Tanyel S. Ayvaz B. Keserci MedIm 26 9 0 05 Jul 2023
Analyzing Intentional Behavior in Autonomous Agents under Uncertainty Filip Cano Córdoba Samuel Judson Timos Antonopoulos Katrine Bjørner Nicholas Shoemaker Scott J. Shapiro R. Piskac Bettina Könighofer 28 3 0 04 Jul 2023
Explainability is NOT a Game Sasha Rubin Xuanxiang Huang 31 17 0 27 Jun 2023
Delivering Inflated Explanations Yacine Izza Alexey Ignatiev Peter Stuckey Sasha Rubin XAI 29 5 0 27 Jun 2023
PWSHAP: A Path-Wise Explanation Model for Targeted Variables Lucile Ter-Minassian Oscar Clivio Karla Diaz-Ordaz R. Evans Chris Holmes 31 1 0 26 Jun 2023
Inference for relative sparsity Samuel J. Weisenthal Sally W. Thurston Ashkan Ertefaie CML 31 0 0 25 Jun 2023
Towards Explainable Evaluation Metrics for Machine Translation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei Zhao Yang Gao Steffen Eger ELM 43 13 0 22 Jun 2023
Learning Locally Interpretable Rule Ensemble Kentaro Kanamori 18 0 0 20 Jun 2023
Can Language Models Teach Weaker Agents? Teacher Explanations Improve Students via Personalization Swarnadeep Saha Peter Hase Mohit Bansal LRM 30 10 0 15 Jun 2023
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAI Ulrike Kuhl André Artelt Barbara Hammer 15 4 0 13 Jun 2023
Two-Stage Holistic and Contrastive Explanation of Image Classification Weiyan Xie Xiao-hui Li Zhi Lin Leonard K. M. Poon Caleb Chen Cao N. Zhang 32 2 0 10 Jun 2023
HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine Rodrigo Agerri Inigo Alonso Aitziber Atutxa Ander Berrondo A. Estarrona ... Koldo Gojenola Maite Oronoz Igor Perez-Tejedor German Rigau Anar Yeginbergenova 34 5 0 09 Jun 2023
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System Mouadh Guesmi Mohamed Amine Chatti Shoeb Joarder Qurat Ul Ain R. Alatrash Clara Siepmann Tannaz Vahidi 16 9 0 09 Jun 2023
Explainable Predictive Maintenance Sepideh Pashami Sławomir Nowaczyk Yuantao Fan Jakub Jakubowski Nuno Paiva ... Bruno Veloso M. Sayed-Mouchaweh L. Rajaoarisoa Grzegorz J. Nalepa João Gama 43 8 0 08 Jun 2023
Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research Timo Freiesleben Gunnar Konig 36 19 0 07 Jun 2023
Adversarial attacks and defenses in explainable artificial intelligence: A survey Hubert Baniecki P. Biecek AAML 47 63 0 06 Jun 2023
From Robustness to Explainability and Back Again Xuanxiang Huang Sasha Rubin 46 10 0 05 Jun 2023
Navigating Explanatory Multiverse Through Counterfactual Path Geometry Kacper Sokol E. Small Yueqing Xuan 47 5 0 05 Jun 2023
(Un)reasonable Allure of Ante-hoc Interpretability for High-stakes Domains: Transparency Is Necessary but Insufficient for Comprehensibility Kacper Sokol Julia E. Vogt 34 9 0 04 Jun 2023
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements Xuhui Zhou Haojie Zhu Akhila Yerukola Thomas Davidson Jena D. Hwang Swabha Swayamdipta Maarten Sap 32 34 0 03 Jun 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 69 159 0 02 Jun 2023
Probabilistic Concept Bottleneck Models Eunji Kim Dahuin Jung Sangha Park Siwon Kim Sung-Hoon Yoon 14 65 0 02 Jun 2023
Survey of Trustworthy AI: A Meta Decision of AI Caesar Wu Yuan-Fang Li Pascal Bouvry 29 3 0 01 Jun 2023
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health J. J. Schnur Nitesh Chawla 30 5 0 31 May 2023
Explaining Hate Speech Classification with Model Agnostic Methods D. Nandini Ute Schmid 19 4 0 30 May 2023
Shapley Based Residual Decomposition for Instance Analysis Tommy Liu Amanda S. Barnard TDI 30 0 0 30 May 2023
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 35 1 0 29 May 2023
Faithfulness Tests for Natural Language Explanations Pepa Atanasova Oana-Maria Camburu Christina Lioma Thomas Lukasiewicz J. Simonsen Isabelle Augenstein FAtt 37 59 0 29 May 2023
Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map Yuguang Yang Runtang Guo Shen-Te Wu Yimi Wang Juan Zhang Xuan Gong Baochang Zhang 24 0 0 27 May 2023
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System Mouadh Guesmi Mohamed Amine Chatti Shoeb Joarder Qurat Ul Ain Clara Siepmann Hoda Ghanbarzadeh R. Alatrash 34 8 0 26 May 2023
Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making Timothée Schmude Laura M. Koesten Torsten Moller Sebastian Tschiatschek 41 1 0 26 May 2023
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases Yiming Zhang Sravani Nanduri Liwei Jiang Tongshuang Wu Maarten Sap 47 7 0 23 May 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting Jinliang Deng Xiusi Chen Renhe Jiang Du Yin Yezhou Yang Xuan Song Ivor W. Tsang BDL AI4TS 37 16 0 22 May 2023
A Measure of Explanatory Effectiveness Dylan R. Cope Peter McBurney 16 0 0 20 May 2023
Visualization for Recommendation Explainability: A Survey and New Perspectives Mohamed Amine Chatti Mouadh Guesmi Arham Muslim XAI HAI LRM 33 5 0 19 May 2023
Constructing Word-Context-Coupled Space Aligned with Associative Knowledge Relations for Interpretable Language Modeling Fanyu Wang Zhenping Xie 24 0 0 19 May 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 44 1 0 18 May 2023
Explainable Multi-Agent Reinforcement Learning for Temporal Queries Kayla Boggess Sarit Kraus Lu Feng LRM 45 12 0 17 May 2023
Unveiling the Potential of Counterfactuals Explanations in Employability Raphael Mazzine Barbosa de Oliveira S. Goethals Dieter Brughmans David Martens 26 2 0 17 May 2023
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing Hua Shen Huang Chieh-Yang Tongshuang Wu Ting-Hao 'Kenneth' Huang 28 37 0 16 May 2023
Capturing Humans' Mental Models of AI: An Item Response Theory Approach Markelle Kelly Aakriti Kumar Padhraic Smyth M. Steyvers 37 13 0 15 May 2023
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering Qianglong Chen Guohai Xu Mingshi Yan Ji Zhang Fei Huang Luo Si Yin Zhang 31 9 0 14 May 2023
Disproving XAI Myths with Formal Methods -- Initial Results Sasha Rubin 47 8 0 13 May 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 34 62 0 12 May 2023