3 papers
cs.LG2025
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
Sami Zhioua, Ruta Binkyte, Ayoub Ouni +1
Accurately measuring discrimination is crucial to faithfully assessing fairness of trained machine learning (ML) models. Any bias in measuring discrimination leads to either amplif…
cs.LG2023
Dissecting Causal Biases
Rūta Binkytė, Sami Zhioua, Yassine Turki
Accurately measuring discrimination in machine learning-based automated decision systems is required to address the vital issue of fairness between subpopulations and/or individual…
cs.LG2022
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
Ruta Binkyte, Ljupcho Grozdanovski, Sami Zhioua
As Artificial Intelligence (AI) increasingly influences decisions in critical societal sectors, understanding and establishing causality becomes essential for evaluating the fairne…