17 citations · 17 across the 4 of their papers we have counts for
4 papers
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity
Lisa Koutsoviti Koumeri, Magali Legast, Yasaman Yousefi +3
Empirical evidence suggests that algorithmic decisions driven by Machine Learning (ML) techniques threaten to discriminate against legally protected groups or create new sources of…
Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps
Isel Grau, Gonzalo Nápoles, Fabian Hoitsma +2
In this paper, we integrate the concepts of feature importance with implicit bias in the context of pattern classification. This is done by means of a three-step methodology that i…
Modeling Implicit Bias with Fuzzy Cognitive Maps
Gonzalo Nápoles, Isel Grau, Leonardo Concepción +2
This paper presents a Fuzzy Cognitive Map model to quantify implicit bias in structured datasets where features can be numeric or discrete. In our proposal, problem features are ma…
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets
Gonzalo Nápoles, Lisa Koutsoviti Koumeri
The need to measure bias encoded in tabular data that are used to solve pattern recognition problems is widely recognized by academia, legislators and enterprises alike. In previou…