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Only then will they ask the right questions—like, “Is our training data representative of a range of skin tones?” and “Does our product fail more often for certain kinds of images?”—and, critically, figure out how to adjust the system as a result.
Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech
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