Are Police Officers Using Facial Recognition to Confirm Their Racial Biases?
This could be America’s first known wrongful arrest involving facial recognition
When Robert Williams, an African-American man from Michigan, was pulling up to his house, a police vehicle drove up to him and two officers leaped out and placed Williams under arrest right in front of his wife and children.
Detroit police detained Mr. Williams on charges of stealing multiple watches from a local store. However, the American Civil Liberties Union (ACLU) has recently discovered that the officers were indeed wrong and led astray by a computer algorithm.
This technology has been used before in places such as concerts and airports, but organizations like the ACLU are concerned about possible algorithmic discrimination.
The ACLU complaint states that the Detroit PD was provided with the video surveillance of an African-American man stealing watches from the store. After running the footage through a facial-recognition system, it suggested a photo of Williams as a Potential Match.
Notice the bolded Potential Match?
Shanon Banner, a spokeswoman for the Michigan state police, explained that:
“This technology does not provide a positive identification. It is an investigative lead only and is not probable cause to arrest. Further investigation is needed to develop probable cause to arrest.”
Even though Mr. Williams was eventually released, this event hints at a future where institutions can start using technological advances to confirm their personal biases and disproportionally target minorities around the country.
But some places are starting to take action to prevent this. Boston voted to ban facial recognition technology for municipal use this week.
“Boston should not be using racially discriminatory technology and technology that threatens our basic rights,” City Councilor Michelle Wu said at the hearing on Wednesday.
As more and more accounts of the disproportionate use police force and brutality towards black and brown communities continue to surface, this incident hints at some of the many potential problems that may arise as facial recognition policing continues to grow unregulated in a racially divided country.






