1 code implementation • 18 Oct 2021 • António Pereira Barata, Frank W. Takes, H. Jaap van den Herik, Cor J. Veenman
When dealing with sensitive data in automated data-driven decision-making, an important concern is to learn predictors with high performance towards a class label, whilst minimising for the discrimination towards any sensitive attribute, like gender or race, induced from biased data.