In a recent letter, the New York Department of Financial Services provided guidance for insurers who use third party data to help with their underwriting decisions. The letter was drafted in response to reports that insurers are getting information about potential insureds from many “unconventional” data sources, including those that contain predictive models and algorithms. These sources are used to supplement medical underwriting, and include information that isn’t necessarily related to a person’s medical condition, but might impact an insurer’s decision. While these sources could improve the market, according to NYDFS (e.g., by simplifying and expediting life insurance sales and making pricing more accurate) the sources themselves are not uniformly reliable. NYDFS had two specific concerns about these sources: first, that the algorithms they use may have a negative impact on consumers; and second, that these sources are often used without the consumers’ knowledge.
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