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
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations Swarnadeep Saha Peter Hase Nazneen Rajani Joey Tianyi Zhou LRM 36 14 0 14 Nov 2022
Seamful XAI: Operationalizing Seamful Design in Explainable AI Upol Ehsan Q. V. Liao Samir Passi Mark O. Riedl Hal Daumé 30 20 0 12 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Mingli Song Huiqiong Wang Mingli Song XAI 39 1 0 12 Nov 2022
Social Construction of XAI: Do We Need One Definition to Rule Them All? Upol Ehsan Mark O. Riedl 11 8 0 11 Nov 2022
Behaviour Trees for Creating Conversational Explanation Experiences A. Wijekoon D. Corsar Nirmalie Wiratunga 27 3 0 11 Nov 2022
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning Danial Dervovic Nicolas Marchesotti Freddy Lecue Daniele Magazzeni 40 0 0 11 Nov 2022
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification Heng Chang Canran Xu Guodong Long Tao Shen Chongyang Tao Jing Jiang 51 1 0 11 Nov 2022
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning Yuanlong Li Gaopan Huang Min Zhou Chuan Fu Honglin Qiao Yan He 26 1 0 09 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 35 15 0 08 Nov 2022
ViT-CX: Causal Explanation of Vision Transformers Weiyan Xie Xiao-hui Li Caleb Chen Cao Nevin L.Zhang ViT 39 17 0 06 Nov 2022
A $k$ -additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning G. D. Pelegrina L. Duarte M. Grabisch FAtt TDI 45 27 0 03 Nov 2022
A General Search-based Framework for Generating Textual Counterfactual Explanations Daniel Gilo Shaul Markovitch LRM 57 0 0 01 Nov 2022
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI) M. Nizami Muhammad Yaseen Khan Alessandro Bogliolo 37 3 0 31 Oct 2022
Artificial intelligence in government: Concepts, standards, and a unified framework Vince J. Straub Deborah Morgan Jonathan Bright Helen Z. Margetts AI4TS 38 34 0 31 Oct 2022
Feature Necessity & Relevancy in ML Classifier Explanations Xuanxiang Huang Martin C. Cooper António Morgado Jordi Planes Sasha Rubin FAtt 44 18 0 27 Oct 2022
Painting the black box white: experimental findings from applying XAI to an ECG reading setting F. Cabitza M. Cameli Andrea Campagner Chiara Natali Luca Ronzio 37 9 0 27 Oct 2022
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence M. Jafari A. Shoeibi Navid Ghassemi Jónathan Heras Saiguang Ling ... Shuihua Wang R. Alizadehsani Juan M Gorriz U. Acharya Hamid Alinejad-Rokny MedIm 27 11 0 26 Oct 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations? Alexis Ross Matthew E. Peters Ana Marasović LRM 37 11 0 24 Oct 2022
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance Xiaoxiao Wang Fanyu Meng Xin Liu Z. Kong Xin Chen XAI CML FAtt 52 4 0 24 Oct 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 35 32 0 24 Oct 2022
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 60 39 0 24 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 36 30 0 21 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 45 8 0 21 Oct 2022
Diffusion Visual Counterfactual Explanations Maximilian Augustin Valentyn Boreiko Francesco Croce Matthias Hein DiffM BDL 34 68 0 21 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 41 92 0 20 Oct 2022
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction Huanjie Wang Haibin Liu Wenshuo Wang Lijun Sun 27 3 0 15 Oct 2022
Machine Learning in Transaction Monitoring: The Prospect of xAI Julie Gerlings Ioanna D. Constantiou 17 2 0 14 Oct 2022
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods Nils Feldhus Leonhard Hennig Maximilian Dustin Nasert Christopher Ebert Robert Schwarzenberg Sebastian Möller FAtt 28 19 0 13 Oct 2022
Challenges in Explanation Quality Evaluation Hendrik Schuff Heike Adel Peng Qi Ngoc Thang Vu XAI 41 3 0 13 Oct 2022
A Survey on Explainable Anomaly Detection Zhong Li Yuxuan Zhu M. Leeuwen 43 74 0 13 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 39 82 0 13 Oct 2022
Assessing Out-of-Domain Language Model Performance from Few Examples Prasann Singhal Jarad Forristal Xi Ye Greg Durrett LRM 30 5 0 13 Oct 2022
Explaining Online Reinforcement Learning Decisions of Self-Adaptive Systems Felix Feit Andreas Metzger Klaus Pohl 27 9 0 12 Oct 2022
Experiential Explanations for Reinforcement Learning Amal Alabdulkarim Madhuri Singh Gennie Mansi Kaely Hall Mark O. Riedl Mark O. Riedl OffRL 45 3 0 10 Oct 2022
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 50 16 0 09 Oct 2022
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation Chenliang Zhou Fangcheng Zhong Cengiz Öztireli CLIP 55 19 0 08 Oct 2022
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors Federico Baldassarre Quentin Debard Gonzalo Fiz Pontiveros Tri Kurniawan Wijaya 49 4 0 07 Oct 2022
What Do End-Users Really Want? Investigation of Human-Centered XAI for Mobile Health Apps Katharina Weitz Alexander Zellner Elisabeth André 14 5 0 07 Oct 2022
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology R. Verhagen Siddharth Mehrotra Mark Antonius Neerincx Catholijn M. Jonker Myrthe L. Tielman 27 1 0 05 Oct 2022
On the Influence of Cognitive Styles on Users' Understanding of Explanations Lara Riefle Patrick Hemmer Carina Benz Michael Vossing Jannik Pries 26 5 0 05 Oct 2022
Concise and interpretable multi-label rule sets Martino Ciaperoni Han Xiao Aristides Gionis 27 1 0 04 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 45 109 0 02 Oct 2022
Using Argumentation Schemes to Model Legal Reasoning Trevor J. M. Bench-Capon Katie Atkinson ELM AILaw 11 5 0 01 Oct 2022
BIASeD: Bringing Irrationality into Automated System Design Aditya Gulati M. Lozano Bruno Lepri Nuria Oliver 50 7 0 01 Oct 2022
Contrastive Corpus Attribution for Explaining Representations Christy Lin Hugh Chen Chanwoo Kim Su-In Lee SSL 27 8 0 30 Sep 2022
Variance Tolerance Factors For Interpreting ALL Neural Networks Sichao Li Amanda S. Barnard FAtt 39 3 0 28 Sep 2022
Assessing Digital Language Support on a Global Scale Gary F. Simons Abbey L Thomas Chad White ELM 35 14 0 27 Sep 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 37 28 0 26 Sep 2022
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 120 110 0 22 Sep 2022
Counterfactual Explanations Using Optimization With Constraint Learning Donato Maragno Tabea E. Rober Ilker Birbil CML 63 10 0 22 Sep 2022