How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation

2 February 2018

Finale Doshi-Velez

Papers citing "How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation"

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Title
Crowdsourcing Evaluation of Saliency-based XAI Methods Xiaotian Lu A. Tolmachev Tatsuya Yamamoto Koh Takeuchi Seiji Okajima T. Takebayashi Koji Maruhashi H. Kashima XAI FAtt 8 14 0 27 Jun 2021
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching Tomas Folke Scott Cheng-Hsin Yang S. Anderson Patrick Shafto 16 19 0 08 Jun 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 29 139 0 17 May 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 42 79 0 30 Apr 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 23 317 0 19 Mar 2021
Robust Model Compression Using Deep Hypotheses Omri Armstrong Ran Gilad-Bachrach OOD 13 2 0 13 Mar 2021
Towards Unbiased and Accurate Deferral to Multiple Experts Vijay Keswani Matthew Lease K. Kenthapadi FaML 8 67 0 25 Feb 2021
EUCA: the End-User-Centered Explainable AI Framework Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 40 24 0 04 Feb 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
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 136 120 0 21 Jan 2021
Biased Models Have Biased Explanations Aditya Jain Manish Ravula Joydeep Ghosh FaML 8 19 0 20 Dec 2020
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning Wencan Zhang Mariella Dimiccoli Brian Y. Lim FAtt 24 18 0 10 Dec 2020
A Survey on the Explainability of Supervised Machine Learning Nadia Burkart Marco F. Huber FaML XAI 25 752 0 16 Nov 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 22 247 0 15 Nov 2020
Domain-Level Explainability -- A Challenge for Creating Trust in Superhuman AI Strategies Jonas Andrulis Ole Meyer Grégory Schott Samuel Weinbach V. Gruhn 6 4 0 12 Nov 2020
Explainable Automated Fact-Checking: A Survey Neema Kotonya Francesca Toni 6 112 0 07 Nov 2020
Understanding Information Processing in Human Brain by Interpreting Machine Learning Models Ilya Kuzovkin HAI 8 2 0 17 Oct 2020
Explaining Creative Artifacts L. Varshney Nazneen Rajani R. Socher 14 2 0 14 Oct 2020
A Diagnostic Study of Explainability Techniques for Text Classification Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein XAI FAtt 17 219 0 25 Sep 2020
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks Thomas Fel David Vigouroux Rémi Cadène Thomas Serre XAI FAtt 31 31 0 07 Sep 2020
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction Eric Chu D. Roy Jacob Andreas FAtt LRM 10 71 0 23 Jul 2020
The Impact of Explanations on AI Competency Prediction in VQA Kamran Alipour Arijit Ray Xiaoyu Lin J. Schulze Yi Yao Giedrius Burachas 24 9 0 02 Jul 2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 39 581 0 26 Jun 2020
Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making Harini Suresh Natalie Lao Ilaria Liccardi 13 49 0 22 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 41 371 0 30 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Xia Hu AAML 26 8 0 23 Apr 2020
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs Sungsoo Ray Hong Jessica Hullman E. Bertini HAI 6 191 0 23 Apr 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 44 82 0 17 Mar 2020
A Study on Multimodal and Interactive Explanations for Visual Question Answering Kamran Alipour J. Schulze Yi Yao Avi Ziskind Giedrius Burachas 32 27 0 01 Mar 2020
What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations Michal Kuzba P. Biecek HAI 15 22 0 07 Feb 2020
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study Ahmed Alqaraawi M. Schuessler Philipp Weiß Enrico Costanza N. Bianchi-Berthouze AAML FAtt XAI 27 197 0 03 Feb 2020
Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience Bhavya Ghai Q. V. Liao Yunfeng Zhang Rachel K. E. Bellamy Klaus Mueller 12 29 0 24 Jan 2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations P. Schramowski Wolfgang Stammer Stefano Teso Anna Brugger Xiaoting Shao Hans-Georg Luigs Anne-Katrin Mahlein Kristian Kersting 32 207 0 15 Jan 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 52 702 0 08 Jan 2020
Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis Roozbeh Yousefzadeh D. O’Leary AAML FAtt 11 5 0 03 Jan 2020
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations Andreas Holzinger André M. Carrington Heimo Muller LRM XAI ELM 20 301 0 19 Dec 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 21 354 0 27 Nov 2019
"How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations Himabindu Lakkaraju Osbert Bastani 6 249 0 15 Nov 2019
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction Alexander Schulz Fabian Hinder Barbara Hammer FAtt 11 2 0 19 Sep 2019
Benchmarking Attribution Methods with Relative Feature Importance Mengjiao Yang Been Kim FAtt XAI 21 140 0 23 Jul 2019
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning Fan Yang Mengnan Du Xia Hu XAI ELM 27 66 0 16 Jul 2019
Generating User-friendly Explanations for Loan Denials using GANs Ramya Srinivasan Ajay Chander Pouya Pezeshkpour FaML 7 15 0 24 Jun 2019
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use S. Tonekaboni Shalmali Joshi M. Mccradden Anna Goldenberg 28 382 0 13 May 2019
VINE: Visualizing Statistical Interactions in Black Box Models M. Britton FAtt 17 21 0 01 Apr 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI Shane T. Mueller R. Hoffman W. Clancey Abigail Emrey Gary Klein XAI 18 285 0 05 Feb 2019
Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment Jonathan Dodge Q. V. Liao Yunfeng Zhang Rachel K. E. Bellamy Casey Dugan FaML 16 124 0 23 Jan 2019
Personalized explanation in machine learning: A conceptualization J. Schneider J. Handali XAI FAtt 22 17 0 03 Jan 2019
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems Sina Mohseni Niloofar Zarei Eric D. Ragan 28 102 0 28 Nov 2018
Towards Explainable Deep Learning for Credit Lending: A Case Study C. Modarres Mark Ibrahim Melissa Louie John Paisley FaML 143 20 0 15 Nov 2018
Deep Weighted Averaging Classifiers Dallas Card Michael J.Q. Zhang Hao Tang 12 41 0 06 Nov 2018