Publications

You can also find my articles on my Google Scholar profile.

A Statistical Perspective on Fairness in Insurance Pricing

Olivier Côté, Marie-Pier Côté, and Arthur Charpentier

Forthcoming, 2026

A guided tour of unfairness mitigation in insurance pricing, from autocalibration to discrimination-free pricing and optimal transport, and of the statistical challenges in implementing antidiscrimination regulation.

Talks (4)
BibTeX
@unpublished{Cote/etal:2026statistical,
author = {Côté, Olivier and Côté, Marie-Pier and Charpentier, Arthur},
title = {A statistical perspective on fairness in insurance pricing},
year = {2026},
note = {Forthcoming}
}

Recoverability of Market-Wide Fair Insurance Premiums under Selection Bias

Marie-Pier Côté, Olivier Côté, and Arthur Charpentier

Published in Insurance: Mathematics and Economics, 2026

When and how market-wide fair premiums can be recovered from a single insurer’s portfolio, despite selection bias.

Talks (3)
BibTeX
@article{Cote/etal:2026recoverability,
author = {Côté, Marie-Pier and Côté, Olivier and Charpentier, Arthur},
title = {Recoverability of market-wide fair insurance premiums under selection bias},
journal = {Insurance: Mathematics and Economics},
volume = {129},
pages = {103268},
year = {2026},
doi = {10.1016/j.insmatheco.2026.103268},
url = {https://www.sciencedirect.com/science/article/pii/S0167668726000582}
}

A Scalable Toolbox for Exposing Indirect Discrimination in Insurance Rates

Olivier Côté, Marie-Pier Côté, and Arthur Charpentier

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)
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}
}

Federated Measurement of Demographic Disparities from Quantile Sketches

Arthur Charpentier, Agathe Fernandes Machado, Olivier Côté, and François Hu

Available at arXiv (under review), 2026

One-shot auditing of demographic parity across data silos, without sharing raw data.

BibTeX
@misc{Charpentier/etal:2026federated,
author = {Charpentier, Arthur and Fernandes Machado, Agathe and Côté, Olivier and Hu, François},
title = {Federated measurement of demographic disparities from quantile sketches},
year = {2026},
eprint = {2602.18870},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2602.18870}
}

Governing Fairness in Insurance Pricing: the Trilemma of Actuarial Adequacy, Solidarity and Causal Legitimacy

Arthur Charpentier, Olivier Côté, and Marie-Pier Côté

Under revision, 2026

Every premium is a normative choice: price fairness is governed by a trilemma between actuarial adequacy, solidarity, and causal legitimacy, and we build the governance architecture (scorecard, causal due diligence, comply-or-explain oversight) to manage it as such.

Talks (4)
BibTeX
@unpublished{Charpentier/etal:2025governance,
author = {Charpentier, Arthur and Côté, Olivier and Côté, Marie-Pier},
title = {Governing fairness in insurance pricing: the trilemma of actuarial adequacy, solidarity and causal legitimacy},
note = {Under revision},
year = {2025}
}

A Fair Price to Pay: Exploiting Causal Graphs for Fairness in Insurance

Olivier Côté, Marie-Pier Côté, and Arthur Charpentier

Published in Journal of Risk and Insurance, 2025

A causal graph tailored for insurance gives formal definitions of direct and indirect discrimination, and sorts fair pricing methodologies into five families by the fairness properties they can deliver.

Talks (13)
BibTeX
@article{Cote/etal:2024,
author = {Côté, Olivier and Côté, Marie-Pier and Charpentier, Arthur},
title = {A fair price to pay: Exploiting causal graphs for fairness in insurance},
journal = {Journal of Risk and Insurance},
volume = {92},
pages = {33-75},
year = {2025},
keywords = {bias, causal inference, directed acyclic graph, discrimination, disparate impact, fairness criteria, score},
doi = {https://doi.org/10.1111/jori.12503},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/jori.12503},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/jori.12503}
}