In April, an MBA student named Bonnie Kamona, reported that a Google image search for “unprofessional hair for work” produced a set of images that almost exclusively depicted women of color. In contrast, her search for “professional hair” delivered images of white women. Two months later, Twitter user Ali Kabir’s report on an image search for “three black teenagers” resulted in a good deal of mug shots, while “three white teenagers” retrieved images of young people having fun.
New Evidence Shows Search Engines Reinforce Social Stereotypes
Thinking critically about the algorithms we depend on every day.
October 20, 2016
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AI, Algorithms, and Bias
Algorithms can improve our predictions and decisions, but they can also perpetuate our blind spots and biases. Here’s what you need to know about the problem—and how organizations can address it.
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