Good morning. Welcome to another episode of our monthly series, Hard Truths, Examining

Systemic Racism in the U.S. Today, how flawed technology is making its way into the U.S.

immigration system.

Facial recognition has become a pretty common part of our lives, whether it's when you

pick up your phone to unlock it or when Facebook knows how to tag you in a photo. Most of

us know what it's like to have our faces scan to prove our identity, but this technology

can be rife with racial bias, particularly against black people.

Even in simple uses of that technology, you know, being able to determine whether a person's

face is facing a phone or a camera or whether a person's hand is under a sink to get the

sink to run water, we've seen problems there.

That's Chaz Arnatt, a law professor at the University of Maryland, who's dedicated

his career to studying how digital technologies are expanding the reach of the criminal justice

system and hurting black and Latino people.

He's especially interested in how this faulty tech can have some very serious consequences.

Just in the past year, we've had the first two cases where a person was charged on an

arrested on a basis of facial recognition evidence, and later was revealed that that

evidence was inaccurate.

You had a man in Michigan and another black man out of New Jersey, both were charged with

crimes that they were not guilty of.

Because of these errors, Boston and San Francisco recently became the first two cities to ban

police departments and local agencies from using facial recognition technology.

But even as some cities start to move away from this technology, it's starting to show

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