About the author
Arthur Charpentier is a professor at the Université du Québec à Montréal and the University of Rennes. An actuary and statistician, he works at the intersection of insurance, risk economics, statistics, and machine learning. His research focuses in particular on pricing and risk pooling, climate risks, and questions of bias, discrimination, and fairness in predictive models.
He is the author of Insurance, Biases, Discrimination and Fairness (Springer, 2024) and a co-author of the Manuel d’assurance (Presses universitaires de France, 2022). Across his research and teaching, he seeks to connect the mathematical tools of actuarial science with the economic, social, and political questions raised by contemporary uses of data.
During a sabbatical year at Kyoto University in 2025–2026, he began writing Risk-Priced Society. The book extends his research by asking what risk prices, scores, and classifications do to institutions of solidarity. He also writes Freakonometrics, a research blog where he shares notes, courses, and reflections on insurance, data, and risk.