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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
When factorization meets argumentation: towards argumentative explanations Jinfeng Zhong E. Negre FAtt 150 0 0 13 May 2024
Design Requirements for Human-Centered Graph Neural Network Explanations Pantea Habibi Peyman Baghershahi Sourav Medya Debaleena Chattopadhyay 141 2 0 11 May 2024
Towards a Novel Measure of User Trust in XAI Systems Miquel Miró-Nicolau Gabriel Moyà Alcover Antoni Jaume-i-Capó Manuel González Hidalgo Adel Ghazel Maria Gemma Sempere Campello Juan Antonio Palmer Sancho 238 0 0 09 May 2024
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers Silvan Mertes Tobias Huber Christina Karle Katharina Weitz Ruben Schlagowski Cristina Conati Elisabeth André 243 1 0 08 May 2024
ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation Ana Brassard Benjamin Heinzerling Keito Kudo Keisuke Sakaguchi Kentaro Inui LRM 123 3 0 08 May 2024
Large Language Models Cannot Explain Themselves Advait Sarkar LRM 213 17 0 07 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A SurveyICT express (IE), 2024 Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 292 29 0 02 May 2024
Statistics and explainability: a fruitful alliance Valentina Ghidini 124 0 0 30 Apr 2024
ViTHSD: Exploiting Hatred by Targets for Hate Speech Detection on Vietnamese Social Media Texts Cuong Nhat Vo Khanh Bao Huynh Son T. Luu Trong-Hop Do 317 1 0 30 Apr 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle Luca Deck Astrid Schomacker Timo Speith Jakob Schöffer Lena Kästner Niklas Kühl 339 4 0 29 Apr 2024
CEval: A Benchmark for Evaluating Counterfactual Text Generation Van Bach Nguyen Jorg Schlotterer Christin Seifert 235 13 0 26 Apr 2024
LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study Van Bach Nguyen Paul Youssef Jorg Schlotterer Christin Seifert 220 25 0 26 Apr 2024
SIDEs: Separating Idealization from Deceptive Explanations in xAI Emily Sullivan 210 3 0 25 Apr 2024
Fiper: a Visual-based Explanation Combining Rules and Feature Importance Eleonora Cappuccio D. Fadda Rosa Lanzilotti Salvatore Rinzivillo FAtt 117 1 0 25 Apr 2024
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models G. Guo Lifu Deng A. Tandon Alex Endert Bum Chul Kwon 232 6 0 24 Apr 2024
Explainable AI models for predicting liquefaction-induced lateral spreading Cheng-Hsi Hsiao Krishna Kumar Ellen Rathje 87 13 0 24 Apr 2024
ChEX: Interactive Localization and Region Description in Chest X-rays Philip Muller Georgios Kaissis Daniel Rueckert 211 11 0 24 Apr 2024
Does It Make Sense to Explain a Black Box With Another Black Box? J. Delaunay Luis Galárraga Christine Largouet AAML 132 1 0 23 Apr 2024
Mechanistic Interpretability for AI Safety -- A Review Leonard Bereska E. Gavves AI4CE 316 288 0 22 Apr 2024
Explainable Interfaces for Rapid Gaze-Based Interactions in Mixed Reality Mengjie Yu Dustin Harris Ian Jones Ting Zhang Yue Liu ... Krista E. Taylor Zhenhong Hu Mary A. Hood Hrvoje Benko Tanya R. Jonker 112 3 0 21 Apr 2024
Interval Abstractions for Robust Counterfactual Explanations Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni 201 4 0 21 Apr 2024
A Framework for Feasible Counterfactual Exploration incorporating Causality, Sparsity and Density Dimitris Sacharidis Dimitris Fotakis V. Kalogeraki Dimitrios Gunopulos CML 181 0 0 20 Apr 2024
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images Dmytro Shvetsov Joonas Ariva M. Domnich Raul Vicente Dmytro Fishman MedIm 181 2 0 19 Apr 2024
Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence M. Domnich Raul Vicente 167 4 0 19 Apr 2024
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law Benjamin Frész Elena Dubovitskaya Danilo Brajovic Marco F. Huber Christian Horz 274 14 0 19 Apr 2024
Prompt-Guided Generation of Structured Chest X-Ray Report Using a Pre-trained LLM Hongzhao Li Hongyu Wang Xia Sun Hua He Jun Feng 128 12 0 17 Apr 2024
CAGE: Causality-Aware Shapley Value for Global Explanations Nils Ole Breuer Andreas Sauter Majid Mohammadi Erman Acar FAtt 271 3 0 17 Apr 2024
Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda Johannes Schneider 226 72 0 15 Apr 2024
Beyond One-Size-Fits-All: Adapting Counterfactual Explanations to User Objectives Orfeas Menis Mastromichalakis Jason Liartis Giorgos Stamou 118 2 0 12 Apr 2024
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models Marvin Pafla Kate Larson Mark Hancock 169 7 0 11 Apr 2024
Interactive Prompt Debugging with Sequence Salience Ian Tenney Ryan Mullins Bin Du Shree Pandya Minsuk Kahng Lucas Dixon LRM 154 5 0 11 Apr 2024
Incremental XAI: Memorable Understanding of AI with Incremental ExplanationsInternational Conference on Human Factors in Computing Systems (CHI), 2024 Jessica Y. Bo Pan Hao Brian Y Lim CLL 165 13 0 10 Apr 2024
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy Giang Nguyen Mohammad Reza Taesiri Sunnie S. Y. Kim Anh Totti Nguyen HAI AAML FAtt 342 8 0 08 Apr 2024
Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare Elisa Rubegni Omran Ayoub Stefania Maria Rita Rizzo Marco Barbero G. Bernegger Francesca Faraci Francesca Mangili Emiliano Soldini P. Trimboli Alessandro Facchini 154 1 0 06 Apr 2024
The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability Stephen Casper Jieun Yun Joonhyuk Baek Yeseong Jung Minhwan Kim ... A. Nicolson Arush Tagade Jessica Rumbelow Hieu Minh Nguyen Dylan Hadfield-Menell 221 2 0 03 Apr 2024
Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows G. Guo Dustin L. Arendt Alex Endert 223 1 0 02 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 399 12 0 31 Mar 2024
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators Jaime González-González Francisco de Arriba-Pérez Silvia García-Méndez Andrea Busto-Castiñeira Francisco J. González Castaño AILaw ELM 239 9 0 30 Mar 2024
Towards a Framework for Evaluating Explanations in Automated Fact Verification Neema Kotonya Francesca Toni 264 7 0 29 Mar 2024
Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies Benjamin Kraske Zakariya Laouar Zachary Sunberg 248 0 0 28 Mar 2024
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans Lisa Anita De Santi Jorg Schlotterer Michael Scheschenja Joel Wessendorf Meike Nauta Vincenzo Positano Christin Seifert MedIm 187 4 0 27 Mar 2024
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making Shuai Ma Qiaoyi Chen Xinru Wang Chengbo Zheng Zhenhui Peng Ming Yin Xiaojuan Ma ELM 277 42 0 25 Mar 2024
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking ModelsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024 Maria Heuss Maarten de Rijke Avishek Anand 737 3 0 24 Mar 2024
Visual Analytics for Fine-grained Text Classification Models and Datasets Munkhtulga Battogtokh Y. Xing Cosmin Davidescu Alfie Abdul-Rahman Michael Luck Rita Borgo 147 0 0 21 Mar 2024
Dynamic Explanation Emphasis in Human-XAI Interaction with Communication Robot Yosuke Fukuchi Seiji Yamada 256 0 0 21 Mar 2024
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey Thu Nguyen Alessandro Canossa Jichen Zhu 159 9 0 21 Mar 2024
What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks Kacper Sokol Julia E. Vogt 241 15 0 19 Mar 2024
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap Sule Tekkesinoglu Azra Habibovic Lars Kunze 215 16 0 19 Mar 2024
Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Models Laura Fernández-Becerra Miguel Ángel González Santamarta Ángel Manuel Guerrero Higueras Francisco J. Rodríguez-Lera Vicente Matellán Olivera 318 2 0 14 Mar 2024
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AIInternational Conference on Human Factors in Computing Systems (CHI), 2024 Bálint Gyevnár Stephanie Droop Tadeg Quillien Shay B. Cohen Neil R. Bramley Christopher G. Lucas Stefano V. Albrecht 245 1 0 11 Mar 2024