A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets

20 August 2021

Papers citing "A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets"

7 / 7 papers shown

Title
Towards detecting unanticipated bias in Large Language Models Anna Kruspe 33 3 0 03 Apr 2024
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps Isel Grau Gonzalo Nápoles Fabian Hoitsma Lisa Koutsoviti Koumeri K. Vanhoof FAtt 17 0 0 16 May 2023
Forward Composition Propagation for Explainable Neural Reasoning Isel Grau Gonzalo Nápoles M. Bello Yamisleydi Salgueiro A. Jastrzębska 22 0 0 23 Dec 2021
Modeling Implicit Bias with Fuzzy Cognitive Maps Gonzalo Nápoles Isel Grau Leonardo Concepción Lisa Koutsoviti Koumeri João Paulo Papa 16 26 0 23 Dec 2021
Prolog-based agnostic explanation module for structured pattern classification Gonzalo Nápoles Fabian Hoitsma A. Knoben A. Jastrzębska Maikel Leon Espinosa 17 13 0 23 Dec 2021
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 743 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016