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  1. Fairness and Risk: An Ethical Argument for a Group Fairness Definition Insurers Can Use.Joachim Baumann & Michele Loi - 2023 - Philosophy and Technology 36 (3):1-31.
    Algorithmic predictions are promising for insurance companies to develop personalized risk models for determining premiums. In this context, issues of fairness, discrimination, and social injustice might arise: Algorithms for estimating the risk based on personal data may be biased towards specific social groups, leading to systematic disadvantages for those groups. Personalized premiums may thus lead to discrimination and social injustice. It is well known from many application fields that such biases occur frequently and naturally when prediction models are applied to (...)
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  • Choosing how to discriminate: navigating ethical trade-offs in fair algorithmic design for the insurance sector.Michele Loi & Markus Christen - 2021 - Philosophy and Technology 34 (4):967-992.
    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 discrimination and predictive inaccuracy in (...)
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  • Genetic Discrimination and Health Insurance.Kasper Lippert-Rasmussen - 2015 - Res Publica 21 (2):185-199.
    According to US law, insurance companies can lawfully differentiate individual health insurance premiums on the basis of non-genetic medical information, but not on the basis of genetic information. The article reviews the case for such genetic exceptionalism. First, I critically assess some standard justifications. Next, I scrutinize an argument appealing to the view that genetically based premium differentiation expresses that persons do not all merit equal concern and respect. In the final section, I argue that even if genetic exceptionalism is (...)
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  • Genetic exceptionalism, revisionism, pluralism and convergence in the ethics of insurance: response to commentators.Jonathan Pugh - 2022 - Journal of Medical Ethics 48 (11):879-880.
    I would like to begin by thanking all of the commentators for their insightful analyses of ‘Genetic information, insurance and a pluralistic approach to justice’; I learnt a great deal from them all. Naturally, I cannot do justice to all of their criticisms in this brief response; instead, I shall use their remarks to prompt some clarificatory points about my arguments in the hope that this will help readers to draw their own conclusions about the various points of disagreement. My (...)
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  • Genetic information, social justice, and risk-sharing institutions.Martin O'Neill - 2021 - Journal of Medical Ethics 47 (7):482-483.
    Under conditions with a low level of available genetic information, mutualistic private insurance markets will often create broadly just outcomes, even if by accident rather than by design. Normatively acceptable outcomes of this kind would come under threat if insurers were to have increased access to genetic information with substantial predictive content.1 As the availability of relevant individual genetic information grows, mutualistic forms of market-based insurance face a dilemma between either sacrificing individuals’ interests in genetic privacy, or creating conditions for (...)
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  • Genetic information, insurance and a pluralistic approach to justice.Jonathan Pugh - 2021 - Journal of Medical Ethics 47 (7):473-479.
    The use of genetic testing has prompted the question of whether insurance companies should be able to use predictive genetic test results (GTRs) in their risk classification of clients. While some jurisdictions have passed legislation to prohibit this practice, the UK has instead adopted a voluntary code of practice that merely restricts the ways in which insurance companies may use GTRs. Critics have invoked various theories of justice to argue that this approach is unfair. However, as well as sometimes relying (...)
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