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  1. Anti-Selection & Genetic Testing in Insurance: An Interdisciplinary Perspective.Dexter Golinghorst, Aisling de Paor, Yann Joly, Angus S. Macdonald, Margaret Otlowski, Richard Peter & Anya E. R. Prince - 2022 - Journal of Law, Medicine and Ethics 50 (1):139-154.
    Anti-selection occurs when information asymmetry exists between insurers and applicants. When an applicant knows they are at high risk of loss, but the insurer does not, the applicant may try to use this knowledge differential to secure insurance at a lower premium that does not match risk.
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  • Genetic discrimination in life insurance: a human rights issue.Jane Tiller & Martin B. Delatycki - 2021 - Journal of Medical Ethics 47 (7):484-485.
    In this issue of Journal of Medical Ethics, Pugh1 offers a pluralist justice-based argument in support of the spirit, if not the precise letter, of the UK approach to the use of genetic test results to underwrite life insurance. We agree with Dr Pugh’s general contention that there is ethical and philosophical support for curtailment of insurers’ access to, and use of, applicants’ GTR in underwriting. However, we disagree with the contention that broad revisionary implications of certain theories of justice (...)
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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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  • Predictive Health Information and Employment Discrimination under the ADA and GINA.Mark A. Rothstein - 2020 - Journal of Law, Medicine and Ethics 48 (3):595-602.
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  • Big Data, Surveillance Capitalism, and Precision Medicine: Challenges for Privacy.Mark A. Rothstein - 2021 - Journal of Law, Medicine and Ethics 49 (4):666-676.
    Surveillance capitalism companies, such as Google and Facebook, have substantially increased the amount of information collected, analyzed, and monetized, including health information increasingly used in precision medicine research, thereby presenting great challenges for health privacy.
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  • Fairness in Uncertainty: Some Limits and Misinterpretations of Actuarial Fairness.Sylvestre Frezal & Laurence Barry - 2020 - Journal of Business Ethics 167 (1):127-136.
    The recent proliferation of new data and technologies enables increasingly finer personalization of products and prices in every domain. In insurance, this revives and enlarges old debates around fairness that have never been completely settled. We will argue that the commonly accepted “actuarial fairness” as based on the “individual cost of risk” derives in fact from a conflation: while it indicates the average cost for a group of insureds from the perspective of an insurance company—and is therefore sound from a (...)
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