Answer:
Down Below
Step-by-step explanation:
From Los Angeles Times(Paraphrased)
Facial recognition technology identifies similarities by seizing, cataloging, and monitoring databases of millions of images of people's faces — 641 million as of 2019, in the case of the FBI's facial recognition unit — Images can be retrieved from government systems, such as driver's licenses, or, in the case of Clearview AI, from files copied from social networks or other internet sites.
According to research, technology has failed to correctly identify people of color. According to a federal study published in 2019, black and Asian people were approximately 100 times more likely than white people to be misidentified by facial recognition.
The issue could be with how and who trains the software. According to a study published by New York University's AI Now Institute, artificial intelligence can be shaped by the environment in which it is built. This includes the tech industry, which is notorious for its lack of gender and racial diversity. According to the study, such processes are almost exclusively developed in environments that "tend to be extremely white, affluent, technically oriented, and male." The lack of diversity may extend to the data sets used to train facial recognition software, as studies have revealed that some were largely trained utilizing databases of images of light-skinned males.
This pinpoints to one thing; Facial Recognition could be used, but it will have a lot of Race/Color Biases because, after all, it is a machine.