>>Facial recognition, only for white males

J. Buolamwini's research on the datasets used for facial recognition highlighted the bias in systems trained on them. By testing their effectiveness in recognizing faces, she revealed the systems' inability to recognize dark-skinned women's faces. For example, Microsoft's system had an error rate of 21 percent, while IBM's equivalent was about 35 percent. However, when the same systems were tasked with recognizing light-skinned men, the error rate dropped below 1 percent.