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dc.contributor.authorHurley, Mikella
dc.contributor.authorAdebayo, Julius
dc.date2021-11-25T13:35:17.000
dc.date.accessioned2021-11-26T11:57:10Z
dc.date.available2021-11-26T11:57:10Z
dc.date.issued2017-04-02T12:07:05-07:00
dc.identifieryjolt/vol18/iss1/5
dc.identifier.contextkey9962766
dc.identifier.urihttp://hdl.handle.net/20.500.13051/7808
dc.description.abstractFor most Americans, access to credit is an essential requirement for upward mobility and financial success. A favorable credit rating is necessary to purchase a home or car, to start a new business, to seek higher education, or to pursue other important goals. For many consumers, strong credit is also necessary to gain access to employment, rental housing, and essential services such as insurance. At present, however, individuals have very little control over how they are scored and have even less ability to contest inaccurate, biased, or unfair assessments of their credit. Traditional, automated credit-scoring tools raise longstanding concerns of accuracy and unfairness. The recent advent of new "big-data" credit-scoring products heightens these concerns.
dc.titleCREDIT SCORING IN THE ERA OF BIG DATA
dc.source.journaltitleYale Journal of Law and Technology
refterms.dateFOA2021-11-26T11:57:10Z
dc.identifier.legacycoverpagehttps://digitalcommons.law.yale.edu/yjolt/vol18/iss1/5
dc.identifier.legacyfulltexthttps://digitalcommons.law.yale.edu/cgi/viewcontent.cgi?article=1122&context=yjolt&unstamped=1


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