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
Unpacking Human-AI Interaction in Safety-Critical Industries: A Systematic Literature Review T. A. Bach Jenny K. Kristiansen Aleksandar Babic Alon Jacovi 31 8 0 05 Oct 2023
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing R. Borsoi Deniz Erdoğmuş Tales Imbiriba 24 4 0 03 Oct 2023
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations Asiful Arefeen Hassan Ghasemzadeh 41 3 0 02 Oct 2023
Refutation of Shapley Values for XAI -- Additional Evidence Xuanxiang Huang Sasha Rubin AAML 37 4 0 30 Sep 2023
Dynamic Interpretability for Model Comparison via Decision Rules Adam Rida Marie-Jeanne Lesot Junsheng Wang Liyan Zhang 16 0 0 29 Sep 2023
Tell Me a Story! Narrative-Driven XAI with Large Language Models David Martens James Hinns Camille Dams Mark Vergouwen Theodoros Evgeniou 25 4 0 29 Sep 2023
Multiple Different Black Box Explanations for Image Classifiers Hana Chockler D. A. Kelly Daniel Kroening FAtt 24 0 0 25 Sep 2023
An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented Systems Andreas Metzger Jon Bartel Jan Laufer 29 2 0 25 Sep 2023
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability Tong Zhang Xiaoyu Yang Boyang Albert Li 30 3 0 25 Sep 2023
A Comprehensive Review on Financial Explainable AI Wei Jie Yeo Wihan van der Heever Rui Mao Min Zhang Ranjan Satapathy G. Mengaldo XAI AI4TS 32 15 0 21 Sep 2023
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement M. D. L. D. Bouter J. Pardo Z. Geradts M. Worring 26 10 0 20 Sep 2023
Explaining Agent Behavior with Large Language Models Xijia Zhang Yue (Sophie) Guo Simon Stepputtis Katia Sycara Joseph Campbell LM&Ro LLMAG 38 6 0 19 Sep 2023
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree Adarsa Sivaprasad Ehud Reiter N. Tintarev Nir Oren FAtt 26 4 0 18 Sep 2023
Interpretability is not Explainability: New Quantitative XAI Approach with a focus on Recommender Systems in Education Riccardo Porcedda XAI 36 0 0 18 Sep 2023
Quantifying Credit Portfolio sensitivity to asset correlations with interpretable generative neural networks S. Caprioli Emanuele Cagliero Riccardo Crupi GAN 13 2 0 15 Sep 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning Emanuele Marconato Andrea Passerini Stefano Teso 41 13 0 14 Sep 2023
Causal Entropy and Information Gain for Measuring Causal Control F. N. F. Q. Simoes Mehdi Dastani T. V. Ommen CML 19 4 0 14 Sep 2023
On the Injunction of XAIxArt C. Arora Debarun Sarkar 10 0 0 12 Sep 2023
Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers Vincent Lemaire Nathan Le Boudec Victor Guyomard Franccoise Fessant CML 33 0 0 08 Sep 2023
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse Edward A. Small Jeffrey N Clark Christopher J. McWilliams Kacper Sokol Jeffrey Chan Flora D. Salim Raúl Santos-Rodríguez 20 1 0 08 Sep 2023
FIND: A Function Description Benchmark for Evaluating Interpretability Methods Sarah Schwettmann Tamar Rott Shaham Joanna Materzyñska Neil Chowdhury Shuang Li Jacob Andreas David Bau Antonio Torralba 18 20 0 07 Sep 2023
A Refutation of Shapley Values for Explainability Xuanxiang Huang Sasha Rubin FAtt 29 3 0 06 Sep 2023
Natural Example-Based Explainability: a Survey Antonin Poché Lucas Hervier M. Bakkay XAI 33 12 0 05 Sep 2023
Outlining the design space of eXplainable swarm (xSwarm): experts perspective Mohammad Naiseh Mohammad D. Soorati Sarvapali Ramchurn 13 3 0 03 Sep 2023
Declarative Reasoning on Explanations Using Constraint Logic Programming Laura State Salvatore Ruggieri Franco Turini LRM 23 1 0 01 Sep 2023
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care Tin Lai MedIm 42 4 0 01 Sep 2023
Learning to Taste: A Multimodal Wine Dataset Thoranna Bender Simon Moe Sorensen A. Kashani K. E. Hjorleifsson Grethe Hyldig Søren Hauberg Serge Belongie Frederik Warburg CoGe 35 2 0 31 Aug 2023
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems Sebastian Lubos Thi Ngoc Trang Tran Seda Polat-Erdeniz Merfat El Mansi Alexander Felfernig Manfred Wundara G. Leitner HAI 22 3 0 31 Aug 2023
Explainable Answer-set Programming Tobias Geibinger LRM 21 1 0 30 Aug 2023
RecRec: Algorithmic Recourse for Recommender Systems Sahil Verma Ashudeep Singh Varich Boonsanong John P. Dickerson Chirag Shah 38 1 0 28 Aug 2023
Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust Bettina Finzel Simon Kuhn David E. Tafler Ute Schmid FAtt 39 1 0 27 Aug 2023
Situated Natural Language Explanations Zining Zhu Hao Jiang Jingfeng Yang Sreyashi Nag Chao Zhang Jie Huang Yifan Gao Frank Rudzicz Bing Yin LRM 49 1 0 27 Aug 2023
Learning to Intervene on Concept Bottlenecks David Steinmann Wolfgang Stammer Felix Friedrich Kristian Kersting 27 20 0 25 Aug 2023
Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach Neha Gianchandani Mahsa Dibaji M. Bento Ethan MacDonald Roberto Souza FAtt MedIm 42 0 0 23 Aug 2023
User-centric AIGC products: Explainable Artificial Intelligence and AIGC products Hanjie Yu Yan Dong Qiong Wu 23 4 0 19 Aug 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 24 3 0 16 Aug 2023
Explaining Black-Box Models through Counterfactuals Patrick Altmeyer A. V. Deursen Cynthia C. S. Liem CML LRM 42 2 0 14 Aug 2023
DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System Mojtaba Yeganejou Kimia Honari Ryan Kluzinski S. Dick M. Lipsett James Miller FedML AI4CE 42 0 0 11 Aug 2023
Contrastive Explanations of Centralized Multi-agent Optimization Solutions Parisa Zehtabi Alberto Pozanco Ayala Bloch Daniel Borrajo Sarit Kraus 19 4 0 11 Aug 2023
Explainable AI applications in the Medical Domain: a systematic review Nicoletta Prentzas A. Kakas Constantinos S. Pattichis 26 11 0 10 Aug 2023
Adding Why to What? Analyses of an Everyday Explanation Lutz Terfloth M. Schaffer H. M. Buhl Carsten Schulte 19 1 0 08 Aug 2023
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI Ivania Donoso-Guzmán Jeroen Ooge Denis Parra K. Verbert 56 6 0 31 Jul 2023
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory Sevvandi Kandanaarachchi K. Smith‐Miles 16 4 0 29 Jul 2023
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI) Barnaby Crook Maximilian Schluter Timo Speith 24 16 0 26 Jul 2023
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition Amirhossein Aminimehr Amir Molaei Min Zhang 33 1 0 23 Jul 2023
Providing personalized Explanations: a Conversational Approach Jieting Luo T. Studer Mehdi Dastani 21 2 0 21 Jul 2023
Modifications of the Miller definition of contrastive (counterfactual) explanations Kevin McAreavey Weiru Liu 19 1 0 20 Jul 2023
Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots Advait Sarkar 32 32 0 20 Jul 2023
NaMemo2: Facilitating Teacher-Student Interaction with Theory-Based Design and Student Autonomy Consideration Guang-Xiu Jiang Jiahui Zhu Yun-fu Li Pengcheng An Yunlong Wang 28 3 0 17 Jul 2023
SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction Mahbub Ul Alam Jaakko Hollmén Jón R. Baldvinsson R. Rahmani FAtt 36 1 0 16 Jul 2023