In 2015, Google Photos labeled black people ‘gorillas’.

There is a short video features “Black Desi” and his colleague “White Wanda”, When Wanda, a white woman, is in front of the screen, the camera zooms to her face and moves as she moves. But when Desi, a black man, does the same, the camera does not respond by tracking him. The clip is light-hearted in tone but is titled “HP computers are racist”.



As the news “Facial recognition software is biased towards white men, researcher finds” said, Gender was misidentified in less than one percent of lighter-skinned males; in up to seven percent of lighter-skinned females; up to 12 percent of darker-skinned males; and up to 35 percent in darker-skinner females. And it’s hardly the first time that facial recognition technology has been proven inaccurate, but more and more evidence points towards the need for diverse data sets, as well as diversity among the people who create and deploy these technologies, in order for the algorithms to accurately recognize individuals regardless or race or other identifiers.