Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity

no code implementations • 14 Jun 2023 • Lisa Koutsoviti Koumeri, Magali Legast, Yasaman Yousefi, Koen Vanhoof, Axel Legay, Christoph Schommer

This work supports the contextual approach to fairness in EU non-discrimination legal framework and aims at assessing up to what point we can assure legal fairness through fairness metrics and under fairness constraints.

Decision Making Fairness

Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps

1 code implementation • 16 May 2023 • Isel Grau, Gonzalo Nápoles, Fabian Hoitsma, Lisa Koutsoviti Koumeri, Koen Vanhoof

In this paper, we integrate the concepts of feature importance with implicit bias in the context of pattern classification.

Fairness Feature Importance

Modeling Implicit Bias with Fuzzy Cognitive Maps

1 code implementation • 23 Dec 2021 • Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa

This paper presents a Fuzzy Cognitive Map model to quantify implicit bias in structured datasets where features can be numeric or discrete.

Fairness

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

1 code implementation • 20 Aug 2021 • 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.