Causal Discovery for Fairness

no code implementations • 14 Jun 2022 • Rūta Binkytė-Sadauskienė, Karima Makhlouf, Carlos Pinzón, Sami Zhioua, Catuscia Palamidessi

Existing causal approaches to fairness in the literature do not address this problem and assume that the causal model is available.

Attribute Causal Discovery +1

Questioning causality on sex, gender and COVID-19, and identifying bias in large-scale data-driven analyses: the Bias Priority Recommendations and Bias Catalog for Pandemics

no code implementations • 29 Apr 2021 • Natalia Díaz-Rodríguez, Rūta Binkytė-Sadauskienė, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Raja Chatila

The COVID-19 pandemic has spurred a large amount of observational studies reporting linkages between the risk of developing severe COVID-19 or dying from it, and sex and gender.

Fairness