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Revealing Neural Network Bias to Non-Experts Through Interactive
Counterfactual Examples

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Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples

7 January 2020

Chelsea M. Myers

Luis Fernando Laris Pardo

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Papers citing "Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples"

7 / 7 papers shown

Title
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas FaML 164 0 0 03 Apr 2025
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse Zijie J. Wang J. W. Vaughan R. Caruana Duen Horng Chau HAI 128 23 0 27 Feb 2023
A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges Christian Arzate Cruz Takeo Igarashi OffRL 74 97 0 27 May 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth CML 122 150 0 26 Feb 2021
BENN: Bias Estimation Using Deep Neural Network Amit Giloni Edita Grolman Tanja Hagemann Ronald Fromm Sebastian Fischer Yuval Elovici A. Shabtai 76 2 0 23 Dec 2020
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 277 194 0 20 Oct 2020
AI and Wargaming J. Goodman S. Risi Simon Lucas VLM 147 14 0 18 Sep 2020