Facial recognition software has made huge advancements in accuracy, but it has a long way to go — specifically when it comes to recognizing people of color. Commercially available software can tell the gender of a person using a photograph. According to researcher Joy Buolamwini, of the MIT Media Lab, that software is correct 99 percent of the time when it’s looking at a white male but is less than half as accurate when looking at a darker-skinned female. Marketplace Tech host Molly Wood spoke with Buolamwini about her research and the human biases that creep into machine learning. (This interview originally aired Feb. 13.)
Facial recognition software has made huge advancements in accuracy, but it has a long way to go — specifically when it comes to recognizing people of color. Commercially available software can tell the gender of a person using a photograph. According to researcher Joy Buolamwini, of the MIT Media Lab, that software is correct 99 percent of the time when it’s looking at a white male but is less than half as accurate when looking at a darker-skinned female. Marketplace Tech host Molly Wood spoke with Buolamwini about her research and the human biases that creep into machine learning. (This interview originally aired Feb. 13.)
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