Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing
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Abstract (arXiv)
We conduct an audit of pricing algorithms employed by companies in the Italian car insurance industry, primarily by gathering quotes through a popular comparison website. While acknowledging the complexity of the industry, we find evidence of several problematic practices. We show that birthplace and gender have a direct and sizeable impact on the prices quoted to drivers, despite national and international regulations against their use. Birthplace, in particular, is used quite frequently to the disadvantage of foreign-born drivers and drivers born in certain Italian cities. In extreme cases, a driver born in Laos may be charged 1,000 euros more than a driver born in Milan, all else being equal. For a subset of our sample, we collect quotes directly on a company website, where the direct influence of gender and birthplace is confirmed. Finally, we find that drivers with riskier profiles tend to see fewer quotes in the aggregator result pages, substantiating concerns of differential treatment raised in the past by Italian insurance regulators.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 May 2021.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 0; 2025: 1.
4 papers.
- 2022A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithmscited by 30
- 2021Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approachcited by 9
- 2022Error Parity Fairness: Testing for Group Fairness in Regression Taskscited by 5
- 2025Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domaincited by 0
- 2025Testing software for non-discrimination: an updated and extended audit in the Italian car insurance domain10 Feb 2025
- 2022Error Parity Fairness: Testing for Group Fairness in Regression Tasks16 Aug 2022
- 2022A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms30 Jun 2022
- 2021Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach17 Sep 2021