Released today by the FTC.
From the FTC:
A new report from the Federal Trade Commission outlines a number of questions for businesses to consider to help ensure that their use of big data analytics, while producing many benefits for consumers, avoids outcomes that may be exclusionary or discriminatory.
“Big data’s role is growing in nearly every area of business, affecting millions of consumers in concrete ways,” said FTC Chairwoman Edith Ramirez. “The potential benefits to consumers are significant, but businesses must ensure that their big data use does not lead to harmful exclusion or discrimination.”
The report, Big Data: A Tool for Inclusion or Exclusion? Understanding the Issues, looks specifically at big data at the end of its lifecycle – how it is used after being collected and analyzed, and draws on information from the FTC’s 2014 workshop, “Big Data: A Tool for Inclusion or Exclusion?,” as well as the Commission’s seminar on Alternative Scoring Products. The Commission also considered extensive public comments and additional public research in compiling the report.
The report highlights a number of innovative uses of big data that are providing benefits to underserved populations, including increased educational attainment, access to credit through non-traditional methods, specialized health care for underserved communities, and better access to employment.
In addition, the report looks at possible risks that could result from biases or inaccuracies about certain groups, including more individuals mistakenly denied opportunities based on the actions of others, exposing sensitive information, creating or reinforcing existing disparities, assisting in the targeting of vulnerable consumers for fraud, creating higher prices for goods and services in lower-income communities and weakening the effectiveness of consumer choice.
The report also proposes four key policy questions that are drawn from research into the ways big data can both present and prevent harms. The policy questions are designed to help companies determine how best to maximize the benefit of their use of big data while limiting possible harms, by examining both practical questions of accuracy and built-in bias as well as whether the company’s use of big data raises ethical or fairness concerns.
Direct to Full Text Report (& Embedded Below)