MSc in Applied Mathematics / Diplôme d’Ingénieur – Ecole Polytechnique
MSc in Social Data Science – University of Oxford
Fairness in machine learning: insights from social choice.
Designing fair algorithms has recently appeared as a major issue in machine learning, and more generally in AI, while it has been studied for long in economics, especially in social choice theory. My goal is to bring together the notions of fairness of the two communities, and leverage the concepts and mathematical tools of social choice to address the new challenges of fairness in machine learning.