Publication: Choosing how to discriminate: navigating ethical trade-offs in fair algorithmic design for the insurance sector
Choosing how to discriminate: navigating ethical trade-offs in fair algorithmic design for the insurance sector
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Loi, M., & Christen, M. (2021). Choosing how to discriminate: navigating ethical trade-offs in fair algorithmic design for the insurance sector. Philosophy & Technology, 34, 967–992. https://doi.org/10.1007/s13347-021-00444-9
Abstract
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Abstract
Here, we provide an ethical analysis of discrimination in private insurance to guide the application of non-discriminatory algorithms for risk prediction in the insurance context. This addresses the need for ethical guidance of data-science experts, business managers, and regulators, proposing a framework of moral reasoning behind the choice of fairness goals for prediction-based decisions in the insurance domain. The reference to private insurance as a business practice is essential in our approach, because the consequences of discri
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- Loi, Michele
- Christen, Markus
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Loi, M., & Christen, M. (2021). Choosing how to discriminate: navigating ethical trade-offs in fair algorithmic design for the insurance sector. Philosophy & Technology, 34, 967–992. https://doi.org/10.1007/s13347-021-00444-9
