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
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations Aditya Bhattacharya Jeroen Ooge Gregor Stiglic K. Verbert 16 30 0 21 Feb 2023
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience Q. V. Liao Hariharan Subramonyam Jennifer Wang Jennifer Wortman Vaughan HAI 40 59 0 21 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 39 1 0 17 Feb 2023
On the Impact of Explanations on Understanding of Algorithmic Decision-Making Timothée Schmude Laura M. Koesten Torsten Moller Sebastian Tschiatschek 29 16 0 16 Feb 2023
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting Giandomenico Cornacchia Vito Walter Anelli Fedelucio Narducci Azzurra Ragone E. Sciascio MLAU FaML 32 1 0 16 Feb 2023
A novel approach to generate datasets with XAI ground truth to evaluate image models Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 27 4 0 11 Feb 2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 36 7 0 10 Feb 2023
Red Teaming Deep Neural Networks with Feature Synthesis Tools Stephen Casper Yuxiao Li Jiawei Li Tong Bu Ke Zhang K. Hariharan Dylan Hadfield-Menell AAML 42 15 0 08 Feb 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication B. Keenan Kacper Sokol 41 7 0 07 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 47 3 0 07 Feb 2023
Five policy uses of algorithmic transparency and explainability Matthew R. O’Shaughnessy 59 0 0 06 Feb 2023
Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2 Wolfgang Messner CML 32 12 0 02 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 29 57 0 01 Feb 2023
On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits Alexis de Colnet Pierre Marquis 31 9 0 30 Jan 2023
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI Saugat Aryal Markt. Keane 30 22 0 27 Jan 2023
Reflective Artificial Intelligence P. R. Lewis Stefan Sarkadi 32 17 0 25 Jan 2023
Explainable AI does not provide the explanations end-users are asking for Savio Rozario G. Cevora XAI 22 0 0 25 Jan 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 47 3 0 24 Jan 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 57 77 0 24 Jan 2023
Selective Explanations: Leveraging Human Input to Align Explainable AI Vivian Lai Yiming Zhang Chacha Chen Q. V. Liao Chenhao Tan 28 44 0 23 Jan 2023
Interpretability in Activation Space Analysis of Transformers: A Focused Survey Soniya Vijayakumar AI4CE 40 3 0 22 Jan 2023
Rationalization for Explainable NLP: A Survey Sai Gurrapu Ajay Kulkarni Lifu Huang Ismini Lourentzou Laura J. Freeman Feras A. Batarseh 41 32 0 21 Jan 2023
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling C. Metta Riccardo Guidotti Yuan Yin Patrick Gallinari S. Rinzivillo MedIm 38 11 0 18 Jan 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 52 105 0 18 Jan 2023
Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle Ryosuke Hyodo Susumu Saito Teppei Nakano Makoto Akabane Ryoichi Kasuga Tetsuji Ogawa 17 1 0 10 Jan 2023
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation Jialin Yu Alexandra I. Cristea Anoushka Harit Zhongtian Sun O. Aduragba Lei Shi Noura Al Moubayed VLM BDL DRL 22 3 0 05 Jan 2023
PEAK: Explainable Privacy Assistant through Automated Knowledge Extraction Gonul Ayci Arzucan Özgür Murat cSensoy P. Yolum 47 1 0 05 Jan 2023
Mapping Knowledge Representations to Concepts: A Review and New Perspectives Lars Holmberg P. Davidsson Per Linde 42 1 0 31 Dec 2022
A Theoretical Framework for AI Models Explainability with Application in Biomedicine Matteo Rizzo Alberto Veneri A. Albarelli Claudio Lucchese Marco Nobile Cristina Conati XAI 38 8 0 29 Dec 2022
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 34 68 0 25 Dec 2022
Explanation Regeneration via Information Bottleneck Qintong Li Zhiyong Wu Lingpeng Kong Wei Bi 40 3 0 19 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 40 16 0 16 Dec 2022
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh Chawla 29 1 0 15 Dec 2022
Explanations Can Reduce Overreliance on AI Systems During Decision-Making Helena Vasconcelos Matthew Jörke Madeleine Grunde-McLaughlin Tobias Gerstenberg Michael S. Bernstein Ranjay Krishna 34 165 0 13 Dec 2022
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting Yiqi Sun Zheng Shi Jianshen Zhang Yongzhi Qi Hao Hu Zuo-jun Shen AI4TS 21 0 0 13 Dec 2022
On Computing Probabilistic Abductive Explanations Yacine Izza Xuanxiang Huang Alexey Ignatiev Nina Narodytska Martin C. Cooper Sasha Rubin FAtt XAI 18 17 0 12 Dec 2022
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences Anna Kawakami Luke M. Guerdan Yang Cheng Anita Sun Alison Hu ... Nikos Arechiga Matthew H. Lee Scott A. Carter Haiyi Zhu Kenneth Holstein 34 10 0 11 Dec 2022
FAIR AI Models in High Energy Physics Javier Mauricio Duarte Haoyang Li Avik Roy Ruike Zhu Eliu A. Huerta ... Mark S. Neubauer Sang Eon Park M. Quinnan R. Rusack Zhizhen Zhao 41 8 0 09 Dec 2022
Criteria for Classifying Forecasting Methods Tim Januschowski Jan Gasthaus Bernie Wang David Salinas Valentin Flunkert Michael Bohlke-Schneider Laurent Callot AI4TS 26 173 0 07 Dec 2022
Towards Better User Requirements: How to Involve Human Participants in XAI Research Thu Nguyen Jichen Zhu 29 3 0 06 Dec 2022
Relative Sparsity for Medical Decision Problems Samuel J. Weisenthal Sally W. Thurston Ashkan Ertefaie 30 2 0 29 Nov 2022
Mixture of Decision Trees for Interpretable Machine Learning Simeon Brüggenjürgen Nina Schaaf P. Kerschke Marco F. Huber MoE 19 0 0 26 Nov 2022
$Interpretability of an Interaction Network for identifying $H \rightarrow b\bar{b}$ jets$ Interpretability of an Interaction Network for identifying $H \rightarrow b\bar{b}$ jets Avik Roy Mark S. Neubauer 35 3 0 23 Nov 2022
Algorithmic Decision-Making Safeguarded by Human Knowledge Ningyuan Chen Mingya Hu Wenhao Li 22 5 0 20 Nov 2022
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models Gayda Mutahar Tim Miller FAtt 29 6 0 19 Nov 2022
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks Stephen Casper K. Hariharan Dylan Hadfield-Menell AAML 31 11 0 18 Nov 2022
Towards Explaining Subjective Ground of Individuals on Social Media Younghun Lee Dan Goldwasser 36 1 0 18 Nov 2022
Explainability Via Causal Self-Talk Nicholas A. Roy Junkyung Kim Neil C. Rabinowitz CML 29 7 0 17 Nov 2022
Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement Montgomery Flora Corey K. Potvin A. McGovern Shawn Handler FAtt 24 16 0 16 Nov 2022
(When) Are Contrastive Explanations of Reinforcement Learning Helpful? Sanjana Narayanan Isaac Lage Finale Doshi-Velez OffRL 17 1 0 14 Nov 2022