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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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Predictable Artificial Intelligence Lexin Zhou Pablo Antonio Moreno Casares Fernando Martínez-Plumed John Burden Ryan Burnell ... Seán Ó hÉigeartaigh Danaja Rutar Wout Schellaert Konstantinos Voudouris José Hernández-Orallo 429 6 0 08 Jan 2025
Citations and Trust in LLM Generated Responses Yifan Ding Matthew Facciani Amrit Poudel Ellen Joyce Salvador Aguiñaga Balaji Veeramani Sanmitra Bhattacharya Tim Weninger HILM 286 11 0 03 Jan 2025
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Qianli Wang Nils Feldhus Simon Ostermann Luis Felipe Villa-Arenas Sebastian Möller Vera Schmitt AAML 458 2 0 01 Jan 2025
Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise SelectionInternational Conference on Learning Analytics and Knowledge (LAK), 2024 Jeroen Ooge Arno Vanneste Maxwell Szymanski K. Verbert 192 1 0 20 Dec 2024
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications M. Islam M. F. Mridha Md Abrar Jahin Nilanjan Dey 157 5 0 05 Dec 2024
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs Aniket K. Singh Debasis Chaudhuri Manish P. Singh Samiran Chattopadhyay 227 4 0 02 Dec 2024
Interpreting Language Reward Models via Contrastive ExplanationsInternational Conference on Learning Representations (ICLR), 2024 Junqi Jiang Tom Bewley Saumitra Mishra Freddy Lecue Manuela Veloso 445 5 0 25 Nov 2024
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report GenerationAsian Conference on Computer Vision (ACCV), 2024 Trong-Thang Pham Ngoc-Vuong Ho Nhat-Tan Bui T. Phan Patel Brijesh ... Gianfranco Doretto Anh Nguyen Carol C. Wu Hien Nguyen Ngan Le 311 7 0 23 Nov 2024
Aligning Generalisation Between Humans and Machines Filip Ilievski Barbara Hammer F. V. Harmelen Benjamin Paassen S. Saralajew ... Vered Shwartz Gabriella Skitalinskaya Clemens Stachl Gido M. van de Ven T. Villmann 649 4 0 23 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 460 5 0 04 Nov 2024
EXAGREE: Mitigating Explanation Disagreement with Stakeholder-Aligned Models Sichao Li Tommy Liu Quanling Deng Amanda S. Barnard 204 1 0 04 Nov 2024
A Mechanistic Explanatory Strategy for XAI Marcin Rabiza 252 3 0 02 Nov 2024
Explainable few-shot learning workflow for detecting invasive and exotic tree speciesScientific Reports (Sci Rep), 2024 Caroline M. Gevaert Alexandra Aguiar Pedro Ou Ku Hao Cheng Pranav Chandramouli Farzaneh Dadrass Javan Francesco Nattino Sonja Georgievska 156 2 0 01 Nov 2024
Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive ExplanationsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Leonardo Ranaldi Marco Valentino André Freitas RALM LRM 236 6 0 30 Oct 2024
Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution Senne Deproost Denis Steckelmacher Ann Nowé 153 0 0 29 Oct 2024
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies Shuai Ma 246 5 0 28 Oct 2024
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric AssessmentsAAAI Conference on Artificial Intelligence (AAAI), 2024 M. Domnich Julius Valja Rasmus Moorits Veski Giacomo Magnifico Kadi Tulver Eduard Barbu Raul Vicente LRM ELM 343 4 0 28 Oct 2024
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based EvaluationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Dongryeol Lee Yerin Hwang Yongil Kim Joonsuk Park Kyomin Jung ELM 363 16 0 28 Oct 2024
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation Peiyu Li O. Bahri Pouya Hosseinzadeh S. F. Boubrahimi S. M. Hamdi CML LRM 358 3 0 27 Oct 2024
Evaluating the Influences of Explanation Style on Human-AI Reliance Emma Casolin Flora D. Salim Ben Newell 214 1 0 26 Oct 2024
Explaining Bayesian Networks in Natural Language using Factor Arguments. Evaluation in the medical domain Jaime Sevilla Nikolay Babakov Ehud Reiter Alberto Bugarin FAtt 117 3 0 23 Oct 2024
An Ontology-Enabled Approach For User-Centered and Knowledge-Enabled Explanations of AI Systems Shruthi Chari 186 0 0 23 Oct 2024
User-centric evaluation of explainability of AI with and for humans: a comprehensive empirical study Szymon Bobek Paloma Korycińska Monika Krakowska Maciej Mozolewski Dorota Rak Magdalena Zych Magdalena Wójcik Grzegorz J. Nalepa ELM 167 2 0 21 Oct 2024
Linking Model Intervention to Causal Interpretation in Model Explanation Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Kui Yu T. Le Jixue Liu CML 267 0 0 21 Oct 2024
Dataset resulting from the user study on comprehensibility of explainable AI algorithmsScientific Data (Sci Data), 2024 Szymon Bobek Paloma Korycińska Monika Krakowska Maciej Mozolewski Dorota Rak Magdalena Zych Magdalena Wójcik Grzegorz J. Nalepa 54 0 0 21 Oct 2024
Human-Centric eXplainable AI in Education Subhankar Maity Aniket Deroy ELM 116 7 0 18 Oct 2024
HR-Bandit: Human-AI Collaborated Linear Recourse BanditInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 502 4 0 18 Oct 2024
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection Nazanin Fouladgar Marjan Alirezaie Kary Främling AI4TS FAtt 196 0 0 16 Oct 2024
Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set ProgrammingTheory and Practice of Logic Programming (TPLP), 2024 A. Takemura Katsumi Inoue 140 2 0 14 Oct 2024
"I think you need help! Here's why": Understanding the Effect of Explanations on Automatic Facial Expression RecognitionAffective Computing and Intelligent Interaction (ACII), 2024 Sanjeev Nahulanthran Mor Vered Leimin Tian Dana Kulić 131 0 0 13 Oct 2024
CE-MRS: Contrastive Explanations for Multi-Robot SystemsIEEE Robotics and Automation Letters (RA-L), 2024 Ethan Schneider Daniel Wu Devleena Das Sonia Chernova 130 0 0 10 Oct 2024
Understanding with toy surrogate models in machine learning Andrés Páez SyDa 180 2 0 08 Oct 2024
Explanation sensitivity to the randomness of large language models: the case of journalistic text classification Jérémie Bogaert Marie-Catherine de Marneffe Antonin Descampe Louis Escouflaire Cedrick Fairon François-Xavier Standaert 314 3 0 07 Oct 2024
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making SkillsInternational Conference on Human Factors in Computing Systems (CHI), 2024 Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 278 10 0 05 Oct 2024
An action language-based formalisation of an abstract argumentation framework Yann Munro Camilo Sarmiento Isabelle Bloch Gauvain Bourgne Catherine Pelachaud Marie-Jeanne Lesot 129 0 0 29 Sep 2024
Trustworthy AI: Securing Sensitive Data in Large Language ModelsApplied Informatics (AI), 2024 G. Feretzakis V. Verykios 185 33 0 26 Sep 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP ExplanationsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2024 Supriya Manna Niladri Sett AAML 292 3 0 26 Sep 2024
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI Elisa Nguyen Johannes Bertram Evgenii Kortukov Jean Y. Song Seong Joon Oh TDI 1.3K 2 0 25 Sep 2024
Explainable and Human-Grounded AI for Decision Support Systems: The Theory of Epistemic Quasi-Partnerships John Dorsch Maximilian Moll 190 4 0 23 Sep 2024
A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary CostsIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2024 Xiaowei Liu Kevin McAreavey Weiru Liu 137 1 0 20 Sep 2024
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration Philipp Spitzer Joshua Holstein Katelyn Morrison Kenneth Holstein Gerhard Satzger Niklas Kühl 195 6 0 19 Sep 2024
Abductive explanations of classifiers under constraints: Complexity and propertiesEuropean Conference on Artificial Intelligence (ECAI), 2024 Martin Cooper Leila Amgoud 161 9 0 18 Sep 2024
Explaining Non-monotonic Normative Reasoning using Argumentation Theory with Deontic Logic Zhe Yu Yiwei Lu 40 2 0 18 Sep 2024
Enhancing Security Testing Software for Systems that Cannot be Subjected to the Risks of Penetration Testing Through the Incorporation of Multi-threading and and Other Capabilities Matthew Tassava Cameron Kolodjski Jordan Milbrath Jeremy Straub 180 1 0 17 Sep 2024
Questioning AI: Promoting Decision-Making Autonomy Through Reflection Simon WS Fischer 104 1 0 16 Sep 2024
ValueCompass: A Framework for Measuring Contextual Value Alignment Between Human and LLMs Hua Shen Tiffany Knearem Reshmi Ghosh Yu-Ju Yang Nicholas Clark Tanushree Mitra Yun Huang 268 0 0 15 Sep 2024
Enumerating Minimal Unsatisfiable Cores of LTLf formulas Antonio Ielo Giuseppe Mazzotta Rafael Peñaloza Francesco Ricca LRM 64 0 0 14 Sep 2024
Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine LearningInternational Conference on Human Factors in Computing Systems (CHI), 2024 Robert Kaufman Emi Lee Manas Satish Bedmutha David Kirsh Nadir Weibel 213 4 0 13 Sep 2024
Explainable AI: Definition and attributes of a good explanation for health AIAI and Ethics (AI & Ethics), 2024 E. Kyrimi S. McLachlan Jared M Wohlgemut Zane B Perkins David A. Lagnado W. Marsh the ExAIDSS Expert Group XAI 200 1 0 09 Sep 2024
Interpretable Clustering: A Survey Lianyu Hu Mudi Jiang Junjie Dong Xinying Liu Zengyou He 254 7 0 01 Sep 2024