How Coders Are Fighting Bias in Facial Recognition Software

Software engineer Henry Gan got a surprise last summer when he tested his team's new facial recognition system on coworkers at startup Gfycat. The machine-learning software successfully identified most of his colleagues, but the system stumbled with one group. "It got some of our Asian employees mixed up," says Gan, who is Asian. "Which was strange because it got everyone else correctly." Gan could take solace from the fact that similar problems have tripped up much larger companies.