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…