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
Interpret-able feedback for AutoML systems Behnaz Arzani Kevin Hsieh Haoxian Chen 21 3 0 22 Feb 2021
Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping Jessica Cooper Ognjen Arandjelovic David J. Harrison AAML 14 13 0 22 Feb 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 45 25 0 17 Feb 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 68 415 0 15 Feb 2021
The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions J. Ferreira Mateus de Souza Monteiro 13 23 0 10 Feb 2021
Principles of Explanation in Human-AI Systems Shane T. Mueller Elizabeth S. Veinott R. Hoffman Gary Klein Lamia Alam T. Mamun W. Clancey XAI 11 57 0 09 Feb 2021
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching Scott Cheng-Hsin Yang Wai Keen Vong Ravi B. Sojitra Tomas Folke Patrick Shafto 24 42 0 07 Feb 2021
Bandits for Learning to Explain from Explanations Freya Behrens Stefano Teso Davide Mottin FAtt 11 1 0 07 Feb 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 120 143 0 05 Feb 2021
"I Don't Think So": Summarizing Policy Disagreements for Agent Comparison Yotam Amitai Ofra Amir LLMAG 27 12 0 05 Feb 2021
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks Mckane Andrus Sarah Dean T. Gilbert Nathan Lambert Tom Zick 22 6 0 04 Feb 2021
EUCA: the End-User-Centered Explainable AI Framework Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 42 24 0 04 Feb 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 30 87 0 03 Feb 2021
Directive Explanations for Actionable Explainability in Machine Learning Applications Ronal Singh Paul Dourish Piers Howe Tim Miller L. Sonenberg Eduardo Velloso F. Vetere 16 32 0 03 Feb 2021
Evaluating the Interpretability of Generative Models by Interactive Reconstruction A. Ross Nina Chen Elisa Zhao Hang Elena L. Glassman Finale Doshi-Velez 105 49 0 02 Feb 2021
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens Maia L. Jacobs Jeffrey He Melanie F. Pradier Barbara D. Lam Andrew C Ahn T. McCoy R. Perlis Finale Doshi-Velez Krzysztof Z. Gajos 54 145 0 01 Feb 2021
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning Matthew Lyle Olson Roli Khanna Lawrence Neal Fuxin Li Weng-Keen Wong CML 40 69 0 29 Jan 2021
Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling David Harbecke AAML 27 2 0 28 Jan 2021
Cognitive Perspectives on Context-based Decisions and Explanations Marcus Westberg Kary Främling 14 1 0 25 Jan 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs Harini Suresh Steven R. Gomez K. Nam Arvind Satyanarayan 34 126 0 24 Jan 2021
Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations Danding Wang Wencan Zhang Brian Y. Lim FAtt 27 22 0 23 Jan 2021
Explainable Artificial Intelligence Approaches: A Survey Sheikh Rabiul Islam W. Eberle S. Ghafoor Mohiuddin Ahmed XAI 46 103 0 23 Jan 2021
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations Barry Smyth Mark T. Keane CML 46 26 0 22 Jan 2021
GLocalX -- From Local to Global Explanations of Black Box AI Models Mattia Setzu Riccardo Guidotti A. Monreale Franco Turini D. Pedreschi F. Giannotti 19 116 0 19 Jan 2021
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making Han Liu Vivian Lai Chenhao Tan 33 117 0 13 Jan 2021
Expanding Explainability: Towards Social Transparency in AI systems Upol Ehsan Q. V. Liao Michael J. Muller Mark O. Riedl Justin D. Weisz 43 394 0 12 Jan 2021
Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry J. Benjamin Arne Berger Nick Merrill James Pierce 51 91 0 11 Jan 2021
Argument Schemes and Dialogue for Explainable Planning Quratul-ain Mahesar Simon Parsons 23 2 0 07 Jan 2021
How Much Automation Does a Data Scientist Want? Dakuo Wang Q. V. Liao Yunfeng Zhang Udayan Khurana Horst Samulowitz Soya Park Michael J. Muller Lisa Amini AI4CE 42 55 0 07 Jan 2021
Predicting Illness for a Sustainable Dairy Agriculture: Predicting and Explaining the Onset of Mastitis in Dairy Cows C. Ryan Christophe Gúeret D. Berry Medb Corcoran Mark T. Keane Brian Mac Namee 32 6 0 06 Jan 2021
One-shot Policy Elicitation via Semantic Reward Manipulation Aaquib Tabrez Ryan Leonard Bradley Hayes 21 2 0 06 Jan 2021
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making Md. Naimul Hoque Klaus Mueller CML 59 30 0 03 Jan 2021
Modeling Disclosive Transparency in NLP Application Descriptions Michael Stephen Saxon Sharon Levy Xinyi Wang Alon Albalak Wenjie Wang 27 7 0 02 Jan 2021
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models Tongshuang Wu Marco Tulio Ribeiro Jeffrey Heer Daniel S. Weld 60 244 0 01 Jan 2021
Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA Ana Valeria González Gagan Bansal Angela Fan Robin Jia Yashar Mehdad Srini Iyer AAML 42 24 0 30 Dec 2020
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python Hubert Baniecki Wojciech Kretowicz Piotr Piątyszek J. Wiśniewski P. Biecek FaML 34 95 0 28 Dec 2020
Explaining NLP Models via Minimal Contrastive Editing (MiCE) Alexis Ross Ana Marasović Matthew E. Peters 43 121 0 27 Dec 2020
Brain-inspired Search Engine Assistant based on Knowledge Graph Xuejiao Zhao Huanhuan Chen Zhenchang Xing Chunyan Miao 22 31 0 25 Dec 2020
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning Silvan Mertes Tobias Huber Katharina Weitz Alexander Heimerl Elisabeth André GAN AAML MedIm 39 69 0 22 Dec 2020
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning Jiaheng Xie Xinyu Liu HAI 33 10 0 21 Dec 2020
On Relating 'Why?' and 'Why Not?' Explanations Alexey Ignatiev Nina Narodytska Nicholas M. Asher Sasha Rubin XAI FAtt LRM 28 26 0 21 Dec 2020
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks Kieran Browne Ben Swift AAML GAN 33 29 0 18 Dec 2020
XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to Theory Nazanin Fouladgar Kary Främling XAI 15 4 0 17 Dec 2020
On Exploiting Hitting Sets for Model Reconciliation Stylianos Loukas Vasileiou Alessandro Previti William Yeoh 19 26 0 16 Dec 2020
Explanation from Specification Harish Naik Gyorgy Turán XAI 27 0 0 13 Dec 2020
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? Thomas P. Quinn Stephan Jacobs M. Senadeera Vuong Le S. Coghlan 33 112 0 10 Dec 2020
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning Haoteng Tang Guixiang Ma Lifang He Heng-Chiao Huang Liang Zhan GNN 40 24 0 10 Dec 2020
Influence-Driven Explanations for Bayesian Network Classifiers Antonio Rago Emanuele Albini P. Baroni Francesca Toni 20 9 0 10 Dec 2020
Deep Argumentative Explanations Emanuele Albini Piyawat Lertvittayakumjorn Antonio Rago Francesca Toni AAML 29 4 0 10 Dec 2020
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 34 18 0 10 Dec 2020