Our paper “Decomposing Direct and Indirect Biases in Linear Models under Demographic Parity Constraint“, with Bertille Tierny et François Hu est maintenant en ligne sur ArXiv. Linear models are widely used in high-stakes decision-making due to their simplicity and interpretability. Yet when fairness constraints such as demographic parity are introduced, their effects on model coefficients, and thus on how predictive bias is distributed across features, remain opaque. Existing approaches on linear models often rely on strong and unrealistic assumptions, or overlook the explicit …