This morning, the FTC announced that it would host a public workshop in September entitled “Big Data: A Tool for Inclusion or Exclusion?” in order to examine the increasing use of big-data analytics and its potential impact on low-income, diverse, and underserved American consumers.  The FTC noted that while predictive-analytic techniques produce tremendous benefits by enabling innovation in medicine, education, and transportation, and in improving product offerings, manufacturing processes, and tailored ads, there is concern that insights from big data also “may be used to categorize consumers in ways that may affect them unfairly, or even unlawfully.” 

The FTC gave examples of such practices that could limit certain populations of consumers’ access to higher quality products or services, including:  (1) rewarding frequent customers with better service or shorter wait times; (2) offering a discounted mortgage rate to a consumer who has a checking, savings, credit card, and retirement account with a competitor; (3) providing offers for “gold level” credit cards to high-income consumers while offering low-income consumers subprime credit cards; (4) circumventing the requirements of the Fair Credit Reporting Act by assessing credit risk through unregulated “aggregate scoring models,” which are based on aggregate credit or demographic profiles of groups of consumers who shop at certain stores, rather than the credit characteristics of individual consumers.  Although these types of uses of big data may be thought to bring about convenience, efficiency, and economic opportunity for some, consumer advocates have urged businesses and regulators to ensure that such techniques be implemented to respect the values of equality and opportunity for all.Continue Reading FTC to Examine Impact of “Big Data” on Low-Income and Underserved Communities