Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches

11 December 2019

Papers citing "Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches"

27 / 27 papers shown

Title
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking Greta Warren Irina Shklovski Isabelle Augenstein OffRL 152 9 0 13 Feb 2025
Explaining a probabilistic prediction on the simplex with Shapley compositions Paul-Gauthier Noé Miquel Perelló Nieto J. Bonastre Peter Flach TDI FAtt 68 0 0 02 Aug 2024
Navigating Explanatory Multiverse Through Counterfactual Path Geometry Kacper Sokol E. Small Yueqing Xuan 95 6 0 05 Jun 2023
bLIMEy: Surrogate Prediction Explanations Beyond LIME Kacper Sokol Alexander Hepburn Raúl Santos-Rodríguez Peter A. Flach FAtt 121 38 0 29 Oct 2019
FACE: Feasible and Actionable Counterfactual Explanations Rafael Poyiadzi Kacper Sokol Raúl Santos-Rodríguez T. D. Bie Peter A. Flach 73 369 0 20 Sep 2019
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations Thibault Laugel Marie-Jeanne Lesot Christophe Marsala X. Renard Marcin Detyniecki 61 198 0 22 Jul 2019
Towards a Characterization of Explainable Systems Dimitri Bohlender Maximilian A. Köhl 33 12 0 31 Jan 2019
Model Cards for Model Reporting Margaret Mitchell Simone Wu Andrew Zaldivar Parker Barnes Lucy Vasserman Ben Hutchinson Elena Spitzer Inioluwa Deborah Raji Timnit Gebru 130 1,903 0 05 Oct 2018
Stakeholders in Explainable AI Alun D. Preece Daniel Harborne Dave Braines Richard J. Tomsett Supriyo Chakraborty 45 157 0 29 Sep 2018
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems Richard J. Tomsett Dave Braines Daniel Harborne Alun D. Preece Supriyo Chakraborty FaML 138 166 0 20 Jun 2018
Defining Locality for Surrogates in Post-hoc Interpretablity Thibault Laugel X. Renard Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki FAtt 83 80 0 19 Jun 2018
A Nutritional Label for Rankings Ke Yang Julia Stoyanovich Abolfazl Asudeh Bill Howe H. V. Jagadish G. Miklau 44 108 0 21 Apr 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 266 2,194 0 23 Mar 2018
The Challenge of Crafting Intelligible Intelligence Daniel S. Weld Gagan Bansal 56 244 0 09 Mar 2018
Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences Tim Miller Piers Howe L. Sonenberg AI4TS SyDa 63 373 0 02 Dec 2017
The Promise and Peril of Human Evaluation for Model Interpretability Bernease Herman 66 144 0 20 Nov 2017
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 127 2,361 0 01 Nov 2017
Interpretable & Explorable Approximations of Black Box Models Himabindu Lakkaraju Ece Kamar R. Caruana J. Leskovec FAtt 71 254 0 04 Jul 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 250 4,273 0 22 Jun 2017
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking Gabriele Tolomei Fabrizio Silvestri Andrew Haines M. Lalmas 61 208 0 20 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 216 2,905 0 14 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 405 3,809 0 28 Feb 2017
Using Visual Analytics to Interpret Predictive Machine Learning Models Josua Krause Adam Perer E. Bertini HAI 59 65 0 17 Jun 2016
Model-Agnostic Interpretability of Machine Learning Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 86 839 0 16 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,706 0 10 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification Been Kim Cynthia Rudin J. Shah 70 321 0 03 Mar 2015