作者: Dexter Golinghorst , Aisling de Paor , Yann Joly , Angus S Macdonald , Margaret Otlowski
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摘要: One of the fundamental principles of insurance is the law of large numbers, which makes a collective management of independent and similar risks more cost-effective and less risky than managing them individually. Private insurers collectively manage risk by creating homogeneous risk pools through underwriting and risk classification. Insurers therefore argue that they need information about major risk factors in order to appropriately allocate risk and set rates commensurate with an individual's likely losses. For some conditions, genetic testing can bring greater accuracy to the underwriting process, making it of particular interest to insurance companies. As artificial intelligence and big data gain importance in the business world, underwriting practices may become more granular. Against this background, we expect the question of how to handle genetic information to receive renewed attention in the forseeable …