The Credit Scoring Conundrum

Posted: 23 Aug 2013

See all articles by Frank Pasquale

Frank Pasquale

Cornell Law School; Cornell Tech

Date Written: August 1, 2013

Abstract

A bad credit score may cost a borrower tens of thousands of dollars, but it is not clear how it is calculated. The formula is a trade secret, immune from scrutiny. Lenders are moving beyond scoring to “credit analytics,” which tracks a consumer’s every transaction. Buy generic products instead of branded ones, and you may find your credit card’s interest rate rising and its limit falling.

This essay critiques automation in the consumer-facing side of the finance industry. Reputation systems are creating new (and largely invisible) disadvantaged groups, disfavored due to error or unfairness. You may be one of those affected, labeled in a database as “unreliable,” “high medical cost,” “declining income,” or some other derogatory term. Since it is nearly impossible to find out exactly how one has been categorized by data brokers and other information collectors, those disadvantaged by secret, automated processes can’t even organize for better treatment. This essay documents their plight, and how current law fails to help. I propose new principles to guide the Consumer Financial Protection Bureau, the Federal Trade Commission, and other regulators as they address the growth of unaccountable financial data sources.

Keywords: credit score CFTC, FTC automation technology trade secret intellectual property, automation, trade secret, cyberlaw

Suggested Citation

Pasquale, Frank A., The Credit Scoring Conundrum (August 1, 2013). U of Maryland Legal Studies Research Paper No. 2013-45, Available at SSRN: https://ssrn.com/abstract=2314370

Frank A. Pasquale (Contact Author)

Cornell Law School ( email )

Myron Taylor Hall
Ithaca, NY 14853

Cornell Tech ( email )

111 8th Avenue #302
New York, NY 10011
United States

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