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{"id":8445,"date":"2019-04-11T00:05:12","date_gmt":"2019-04-11T00:05:12","guid":{"rendered":"https:\/\/sviaccelerator.com\/?p=8445"},"modified":"2019-05-06T22:31:39","modified_gmt":"2019-05-06T22:31:39","slug":"underwriting-the-dangers-of-data-and-discrimination","status":"publish","type":"post","link":"https:\/\/sviaccelerator.com\/underwriting-the-dangers-of-data-and-discrimination\/","title":{"rendered":"Underwriting: The Dangers of Data and Discrimination"},"content":{"rendered":"
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On January 18, 2019, New York\u2019s Department of Financial Services (DFS) issued <\/span>Circular Letter No. 1 (2019)<\/span><\/a> to advise life insurers regarding the type of data that they may use when underwriting policies. The guidance was released after the DFS conducted an investigation into insurers\u2019 underwriting practices, which followed reports that it had received of the emergence and use of \u201cunconventional\u201d data sources within the industry. \u00a0The guidance\u2014summarized below\u2014will be of particular interest to InsurTech start-ups, as well as established carriers seeking to use new sources of data to underwrite risks.<\/span><\/p>\n

Circular Letter No. 1 identifies two primary areas of concern regarding the use of external data (e.g., data\u2014such as a credit card rating\u2014that is not directly related to an applicant\u2019s medical condition), algorithms and predictive models in the life insurance space. First, the use of such tools might unlawfully discriminate against protected classes of consumers. Second, such tools often lack transparency for consumers.<\/span><\/p>\n

Unlawful Discrimination<\/b><\/h2>\n

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New York Insurance Law Article 26<\/span><\/a> prohibits the use of, among other things, race, color, creed and national origin in underwriting.<\/span><\/p>\n

The DFS\u2019 investigation uncovered that life insurers used the following sources of external data in connection with underwriting policies: geographical data, homeownership data, credit information, educational attainment, licensures, civil judgments, and court records. According to the DFS, all of these sources of data have the potential to reflect \u201cdisguised and illegal race-based underwriting.\u201d The DFS stated that other external data that it found in use, such as retail purchase history, social media or Internet activity, geographic location tracking, condition and type of applicant\u2019s electronic devices (and software), and an applicant\u2019s appearance in photos, also have a \u201cstrong potential to have a disparate impact on the protected classes identified under New York and federal law.<\/span><\/p>\n

In light of these issues, the DFS provided, among other guidance, the following principles:<\/span><\/p>\n