How facial-recognition technology can lead to wrongful arrests
Marketplace Tech
Marketplace
4.5 • 1.3K Ratings
🗓️ 28 April 2023
⏱️ 10 minutes
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Summary
Facial-recognition software is leading to wrongful arrests, but the secrecy around the use of the technology makes it hard to know just how often it happens. So far, there are at least five known cases in which police use of facial-recognition algorithms have led to mistaken-identity arrests in the United States. All five were Black men. Nate Freed Wessler is part of the team representing one of those men in a case against the Detroit Police Department. He’s also a deputy director of the American Civil Liberties Union’s Speech, Privacy, and Technology project. Marketplace’s Meghan McCarty Carino spoke with Wessler about facial-recognition technology and why it leads to these outcomes.
Transcript
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| 0:00.0 | Marketplace Morning reports new Skin in the Game series explores what we can learn about |
| 0:04.6 | money and careers from the $300 billion video game industry. Plus, here how an Oakland-based |
| 0:11.0 | program helps young people get the skills they need to break into this booming industry. |
| 0:15.9 | Listen to Skin in the Game and more from the Marketplace Morning report wherever you get your |
| 0:20.7 | podcasts. Facial recognition software is leading to wrongful arrests, but it's hard to know how |
| 0:28.6 | often. From American public media, this is Marketplace Tech, I'm Megan McCarty Carino. |
| 0:43.7 | There are at least five known cases where police use of facial recognition algorithms |
| 0:49.8 | have led to mistaken identity arrests in the US. All five were black men. |
| 0:55.8 | Nate Friedwessler is representing one of them in a case against the Detroit police. |
| 1:00.7 | He's with the ACLU's Speech Privacy and Technology Project. |
| 1:04.6 | This technology is your black box algorithmic artificial intelligence technology. |
| 1:10.7 | It's far from perfect even in ideal test conditions, but when police are using it, |
| 1:15.3 | it's far from ideal. They're feeding in all kinds of photos with different qualities, |
| 1:19.6 | photos of, you know, from surveillance cameras or security cameras where it might be |
| 1:23.7 | shadowy, someone's face might be partly obscured by a hat or sunglasses. All of those issues |
| 1:28.5 | with photo quality lower the reliability of the result from the algorithm. In other words, |
| 1:34.1 | there's a higher chance of a false match. Additionally, we now know of five cases around the |
| 1:39.5 | country where black men were falsely arrested for crimes they had nothing to do with because police |
| 1:44.4 | relied on incorrect matches by this technology. I'm part of the legal team that represents one of |
| 1:49.2 | those men. His name is Robert Williams. He lives in the Detroit area in Michigan. He was arrested |
| 1:54.8 | on his front yard in front of his two very young daughters and his wife by Detroit police, |
| 1:59.8 | held in jail for 30 hours interrogated for a shoplifting prime that he had nothing to do with. |
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