3 papers
cs.CY2023
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…
cs.LG2023
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…
cs.LG2022
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…