Is Facial Recognition Tech Accurate?

Now, a new study unveils inaccuracies in the results of these searches. Top facial recognition systems misidentify people of color at higher rates than white people, according to a US federal study from the National Institute of Standards and Technology (NIST).
While conducting a particular type of database search known as “one-to-one” matching, many facial recognition algorithms falsely identified African-American and Asian faces 10 to 100 times more than white faces.
In one-to-many matching (the type of search done by law enforcement investigators that compares an image to a database of other faces), African American women were falsely identified most frequently.
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