A Scalable Toolbox for Exposing Indirect Discrimination in Insurance Rates
Published in Casualty Actuarial Society Research Paper Series on Bias and Insurance, 2026
Proxy effects and unfair biases in insurance rates, quantified in the terms actuaries need: dollars and people, along the three core fairness dimensions of actuarial fairness, solidarity, and causality. See the CAS announcement.
Talks (16)
CAS (webinar), 2026ARC (AAA invited session), 2026Association des actuaires en IARD du Québec (AAIARD), 2026Department of Mathematics, Stockholm University, 20261st ASTIN Bulletin Conference, ETH Zürich, 2026CAS Canada Connect Day, 2025Department of Statistics, University of Toronto, 2025CAS Annual Meeting, 2025ARC (CAS invited session), 2025Université du Québec à Montréal, 2025Perspectives on Actuarial Risks in Talks of Young Researchers (PARTY), 2025Chaire ACTIONS, 2025 Industry: Milliman Paris, Desjardins Groupe d'assurances générales, TD Insurance, Promutuel Assurance
BibTeX
@techreport{Cote/etal:2025toolbox,
author = {Côté, Olivier and Côté, Marie-Pier and Charpentier, Arthur},
title = {A scalable toolbox for exposing indirect discrimination in insurance rates},
institution = {Casualty Actuarial Society},
type = {Research Paper Series on Bias and Insurance},
year = {2026},
url = {https://www.casact.org/sites/default/files/2026-03/Scalable_Toolbox_for_Exposing_Indirect_Discrimination_Research_Paper.pdf}
}