Measuring and Mitigating Biases in Motor Insurance Pricing
Mulah Moriah, Franck Vermet, Arthur Charpentier

TL;DR
This paper discusses methods to measure and reduce biases in motor insurance pricing, emphasizing fairness, transparency, and regulatory compliance in developing equitable premium strategies.
Contribution
It introduces a comprehensive toolkit for identifying and mitigating ethical biases in insurance pricing, with practical application in automobile insurance.
Findings
Effective bias measurement techniques are proposed.
Strategies for mitigating biases while maintaining performance are demonstrated.
The toolkit improves fairness without compromising accuracy.
Abstract
The non-life insurance sector operates within a highly competitive and tightly regulated framework, confronting a pivotal juncture in the formulation of pricing strategies. Insurers are compelled to harness a range of statistical methodologies and available data to construct optimal pricing structures that align with the overarching corporate strategy while accommodating the dynamics of market competition. Given the fundamental societal role played by insurance, premium rates are subject to rigorous scrutiny by regulatory authorities. These rates must conform to principles of transparency, explainability, and ethical considerations. Consequently, the act of pricing transcends mere statistical calculations and carries the weight of strategic and societal factors. These multifaceted concerns may drive insurers to establish equitable premiums, taking into account various variables. For…
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Taxonomy
TopicsInsurance and Financial Risk Management · Insurance, Mortality, Demography, Risk Management · Healthcare Policy and Management
MethodsSparse Evolutionary Training · ALIGN
