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
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning Ulrike Kuhl André Artelt Barbara Hammer 43 18 0 06 May 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection Esma Balkir I. Nejadgholi Kathleen C. Fraser S. Kiritchenko FAtt 46 27 0 06 May 2022
Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction G. Cancro Shimei Pan James R. Foulds 25 2 0 06 May 2022
One-way Explainability Isn't The Message A. Srinivasan Michael Bain Enrico W. Coiera 23 2 0 05 May 2022
Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI Marco Valentino André Freitas XAI 28 2 0 03 May 2022
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals Zijian Zhang Vinay Setty Avishek Anand 37 7 0 03 May 2022
Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions Boris Kovalerchuk Ruazvan Andonie Nuno Datia Kawa Nazemi Ebad Banissi 8 10 0 03 May 2022
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security Maede Zolanvari Zebo Yang K. Khan Rajkumar Jain N. Meskin 33 73 0 02 May 2022
Creative Uses of AI Systems and their Explanations: A Case Study from Insurance Michaela Benk Raphael P. Weibel Andrea Ferrario 28 2 0 02 May 2022
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams Johannes Haug Effi Tramountani Gjergji Kasneci 11 5 0 28 Apr 2022
The Value of Measuring Trust in AI - A Socio-Technical System Perspective Michaela Benk Suzanne Tolmeijer F. Wangenheim Andrea Ferrario 30 10 0 28 Apr 2022
Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze? Stephanie Brandl Oliver Eberle Jonas Pilot Anders Søgaard 85 34 0 25 Apr 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching Patrick Fernandes Marcos Vinícius Treviso Danish Pruthi André F. T. Martins Graham Neubig FAtt 37 22 0 22 Apr 2022
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity Charvi Rastogi Liu Leqi Kenneth Holstein Hoda Heidari 57 9 0 22 Apr 2022
EVOTER: Evolution of Transparent Explainable Rule-sets Hormoz Shahrzad Babak Hodjat Risto Miikkulainen 21 4 0 21 Apr 2022
Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI Greta Warren Mark T. Keane R. Byrne CML 32 22 0 21 Apr 2022
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints Patrick Zschech Sven Weinzierl Nico Hambauer Sandra Zilker Mathias Kraus 26 14 0 19 Apr 2022
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions Daniel Omeiza S. Anjomshoae Helena Webb Marina Jirotka Lars Kunze 29 13 0 19 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 42 135 0 18 Apr 2022
Why did I fail? A Causal-based Method to Find Explanations for Robot Failures Maximilian Diehl Karinne Ramirez-Amaro 57 30 0 09 Apr 2022
"Am I Private and If So, how Many?" -- Using Risk Communication Formats for Making Differential Privacy Understandable Daniel Franzen Saskia Nuñez von Voigt Peter Sorries Florian Tschorsch Claudia Muller-Birn Freie Universitat Berlin 49 9 0 08 Apr 2022
Finding Counterfactual Explanations through Constraint Relaxations Sharmi Dev Gupta Begum Genc Barry O'Sullivan 37 3 0 07 Apr 2022
Dynamic Model Tree for Interpretable Data Stream Learning Johannes Haug Klaus Broelemann Gjergji Kasneci 27 7 0 30 Mar 2022
A Principles-based Ethics Assurance Argument Pattern for AI and Autonomous Systems Zoe Porter Ibrahim Habli John McDermid Marten H. L. Kaas 16 14 0 29 Mar 2022
Cycle-Consistent Counterfactuals by Latent Transformations Saeed Khorram Li Fuxin BDL 24 32 0 28 Mar 2022
STaR: Bootstrapping Reasoning With Reasoning E. Zelikman Yuhuai Wu Jesse Mu Noah D. Goodman ReLM LRM 46 440 0 28 Mar 2022
A Unified Study of Machine Learning Explanation Evaluation Metrics Yipei Wang Xiaoqian Wang XAI 26 7 0 27 Mar 2022
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals Simon Vandenhende D. Mahajan Filip Radenovic Deepti Ghadiyaram 32 30 0 24 Mar 2022
Diverse Counterfactual Explanations for Anomaly Detection in Time Series Deborah Sulem Michele Donini Muhammad Bilal Zafar François-Xavier Aubet Jan Gasthaus Tim Januschowski Sanjiv Ranjan Das K. Kenthapadi Cédric Archambeau AAML 40 10 0 21 Mar 2022
On the Computation of Necessary and Sufficient Explanations Adnan Darwiche Chunxi Ji FAtt 36 19 0 20 Mar 2022
Assessing Gender Bias in Predictive Algorithms using eXplainable AI C. Manresa-Yee Silvia Ramis FaML 16 11 0 19 Mar 2022
Explaining Preference-driven Schedules: the EXPRES Framework Alberto Pozanco F. Mosca Parisa Zehtabi Daniele Magazzeni Sarit Kraus 18 9 0 16 Mar 2022
Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks Nicola Garau N. Bisagno Zeno Sambugaro Nicola Conci 45 21 0 07 Mar 2022
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box Catarina Moreira Yu-Liang Chou Chih-Jou Hsieh Chun Ouyang Joaquim A. Jorge João Pereira CML 42 9 0 04 Mar 2022
Reasoning about Counterfactuals to Improve Human Inverse Reinforcement Learning Michael S. Lee H. Admoni Reid G. Simmons OffRL 18 9 0 03 Mar 2022
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain Ola Hall Mattias Ohlsson Thortseinn Rögnvaldsson 27 8 0 02 Mar 2022
Explainability for identification of vulnerable groups in machine learning models Inga Strümke Marija Slavkovik FaML 33 3 0 01 Mar 2022
The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study Claire Woodcock Brent Mittelstadt Dan Busbridge Grant Blank 27 26 0 27 Feb 2022
Counterfactual Explanations for Predictive Business Process Monitoring Tsung-Hao Huang Andreas Metzger Klaus Pohl 47 19 0 24 Feb 2022
The Need for Interpretable Features: Motivation and Taxonomy Alexandra Zytek Ignacio Arnaldo Dongyu Liu Laure Berti-Equille K. Veeramachaneni FAtt XAI 36 13 0 23 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 43 9 0 23 Feb 2022
Explainability in Machine Learning: a Pedagogical Perspective Andreas Bueff I. Papantonis Auste Simkute Vaishak Belle 18 1 0 21 Feb 2022
On Deciding Feature Membership in Explanations of SDD & Related Classifiers Xuanxiang Huang Sasha Rubin FAtt LRM 23 3 0 15 Feb 2022
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality Yan Lyu Hangxin Lu Min Kyung Lee G. Schmitt Brian Y. Lim 36 9 0 15 Feb 2022
Uncalibrated Models Can Improve Human-AI Collaboration Kailas Vodrahalli Tobias Gerstenberg James Zou HAI 17 29 0 12 Feb 2022
Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning Krzysztof Z. Gajos Lena Mamykina 40 101 0 11 Feb 2022
Explainable Predictive Modeling for Limited Spectral Data Frantishek Akulich Hadis Anahideh Manaf Sheyyab Dhananjay Ambre 17 23 0 09 Feb 2022
A Neural Phillips Curve and a Deep Output Gap Philippe Goulet Coulombe 33 11 0 08 Feb 2022
Algorithmic nudge to make better choices: Evaluating effectiveness of XAI frameworks to reveal biases in algorithmic decision making to users Prerna Juneja Tanushree Mitra CML 19 0 0 05 Feb 2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 32 1 0 30 Jan 2022