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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Title
RobustX: Robust Counterfactual Explanations Made Easy Junqi Jiang Luca Marzari Aaryan Purohit Francesco Leofante CML 63 0 0 20 Feb 2025
Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making Yongsu Ahn Yu-Ru Lin Malihe Alikhani Eunjeong Cheon 225 0 0 17 Feb 2025
A Scoresheet for Explainable AI Michael Winikoff John Thangarajah Sebastian Rodriguez 61 0 0 14 Feb 2025
Discovering Chunks in Neural Embeddings for Interpretability Shuchen Wu Stephan Alaniz Eric Schulz Zeynep Akata 52 0 0 03 Feb 2025
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review Giovanni Ciatto Federico Sabbatini Andrea Agiollo Matteo Magnini Andrea Omicini 60 14 0 28 Jan 2025
XEQ Scale for Evaluating XAI Experience Quality A. Wijekoon Nirmalie Wiratunga D. Corsar Kyle Martin Ikechukwu Nkisi-Orji Belén Díaz-Agudo Derek Bridge 55 2 0 20 Jan 2025
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR Laura State Alejandra Bringas Colmenarejo Andrea Beretta Salvatore Ruggieri Franco Turini Stephanie Law AILaw ELM 46 0 0 10 Jan 2025
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 56 2 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 49 3 0 03 Jan 2025
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation Qianli Wang Nils Feldhus Simon Ostermann Luis Felipe Villa-Arenas Sebastian Möller Vera Schmitt AAML 37 1 0 01 Jan 2025
Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise Selection Jeroen Ooge Arno Vanneste Maxwell Szymanski K. Verbert 98 0 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 69 2 0 05 Dec 2024
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs Aniket K. Singh Debasis Chaudhuri Manish P. Singh Samiran Chattopadhyay 75 0 0 02 Dec 2024
Interpreting Language Reward Models via Contrastive Explanations Junqi Jiang Tom Bewley Saumitra Mishra Freddy Lecue Manuela Veloso 81 1 0 25 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 88 1 0 23 Nov 2024
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation Trong-Thang Pham Ngoc-Vuong Ho Nhat-Tan Bui T. Phan Patel Brijesh ... Gianfranco Doretto Anh Nguyen Carol C. Wu Hien Nguyen Ngan Le 110 2 0 23 Nov 2024
EXAGREE: Towards Explanation Agreement in Explainable Machine Learning Sichao Li Quanling Deng Amanda S. Barnard 47 0 0 04 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 62 0 0 04 Nov 2024
A Mechanistic Explanatory Strategy for XAI Marcin Rabiza 59 1 0 02 Nov 2024
Explainable few-shot learning workflow for detecting invasive and exotic tree species Caroline M. Gevaert Alexandra Aguiar Pedro Ou Ku Hao Cheng Pranav Chandramouli Farzaneh Dadrass Javan Francesco Nattino Sonja Georgievska 36 0 0 01 Nov 2024
Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations Leonardo Ranaldi Marco Valentino André Freitas RALM LRM 51 4 0 30 Oct 2024
Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution Senne Deproost Denis Steckelmacher Ann Nowé 46 0 0 29 Oct 2024
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies Shuai Ma 34 0 0 28 Oct 2024
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation Dongryeol Lee Yerin Hwang Yongil Kim Joonsuk Park Kyomin Jung ELM 78 6 0 28 Oct 2024
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments M. Domnich Julius Valja Rasmus Moorits Veski Giacomo Magnifico Kadi Tulver Eduard Barbu Raul Vicente LRM ELM 48 4 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 44 1 0 27 Oct 2024
Evaluating the Influences of Explanation Style on Human-AI Reliance Emma Casolin Flora D. Salim Ben Newell 26 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 18 1 0 23 Oct 2024
An Ontology-Enabled Approach For User-Centered and Knowledge-Enabled Explanations of AI Systems Shruthi Chari 34 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 37 1 0 21 Oct 2024
XAI-FUNGI: Dataset resulting from the user study on comprehensibility of explainable AI algorithms Szymon Bobek Paloma Korycińska Monika Krakowska Maciej Mozolewski Dorota Rak Magdalena Zych Magdalena Wójcik Grzegorz J. Nalepa 17 0 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 33 0 0 21 Oct 2024
Human-Centric eXplainable AI in Education Subhankar Maity Aniket Deroy ELM 28 1 0 18 Oct 2024
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 45 1 0 18 Oct 2024
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection Nazanin Fouladgar Marjan Alirezaie Kary Främling AI4TS FAtt 23 0 0 16 Oct 2024
Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set Programming A. Takemura Katsumi Inoue 16 0 0 14 Oct 2024
"I think you need help! Here's why": Understanding the Effect of Explanations on Automatic Facial Expression Recognition Sanjeev Nahulanthran Mor Vered Leimin Tian Dana Kulić 21 0 0 13 Oct 2024
CE-MRS: Contrastive Explanations for Multi-Robot Systems Ethan Schneider Daniel Wu Devleena Das Sonia Chernova 20 0 0 10 Oct 2024
Understanding with toy surrogate models in machine learning Andrés Páez SyDa 29 0 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 29 1 0 07 Oct 2024
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 56 2 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 27 0 0 29 Sep 2024
Trustworthy AI: Securing Sensitive Data in Large Language Models G. Feretzakis V. Verykios 29 10 0 26 Sep 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations Supriya Manna Niladri Sett AAML 34 1 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 397 2 0 25 Sep 2024
Explainable and Human-Grounded AI for Decision Support Systems: The Theory of Epistemic Quasi-Partnerships John Dorsch Maximilian Moll 30 3 0 23 Sep 2024
A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs Xiaowei Liu Kevin McAreavey Weiru Liu 40 0 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 50 3 0 19 Sep 2024
Abductive explanations of classifiers under constraints: Complexity and properties Martin Cooper Leila Amgoud 32 7 0 18 Sep 2024
Explaining Non-monotonic Normative Reasoning using Argumentation Theory with Deontic Logic Zhe Yu Yiwei Lu 22 0 0 18 Sep 2024