On my way to Tokyo (東京) for a couple of days, where I was invited to give a talk by the JFLI (Japanese-French Laboratory for Informatics) at the National Institute of Informatics (国立情報学研究所). The talk will be on “Counterfactual and Transport-Based Methods for Understanding Indirect Discrimination in Algorithmic Systems” Understanding disparities between demographic groups in algorithmic predictions remains a central challenge in responsible AI. Classical decomposition methods such as the Kitagawa–Oaxaca–Blinder framework, recently extended to nonlinear and …