When Facial Recognition Tech Is Wrong
Uncanny Valley | WIRED
WIRED
4.1 • 572 Ratings
🗓️ 18 March 2022
⏱️ 36 minutes
🧾️ Download transcript
Summary
Like a lot of tech solutions to complex problems, facial recognition algorithms aren't perfect. But when the technology is used to identify suspects in criminal cases, those flaws in the system can have catastrophic, life-changing consequences. People can get wrongly identified, arrested, and convicted, often without ever being told they were ID’d by a computer. It’s especially troubling when you consider false identifications disproportionately affect women, young people, and people with dark skin—basically everyone other than white men.
This week on Gadget Lab, WIRED senior writer Khari Johnson joins us to talk about the limits of facial recognition tech, and what happens to the people who get misidentified.
Show Notes:
Read Khari’s stories about how facial recognition tech has led to wrongful arrests that derailed people’s lives. Here’s Lauren’s story about Garmin’s Fenix smartwatch. (And here’s WIRED’s review of the latest model.) Arielle’s story about the wave of shows about Silicon Valley tech founders is here.
Recommendations:
Khari recommends hoagies. Lauren recommends Garmin smartwatches. Mike recommends the show The Dropout on Hulu.
Khari Johnson can be found on Twitter @kharijohnson. Lauren Goode is @LaurenGoode. Michael Calore is @snackfight. Bling the main hotline at @GadgetLab. The show is produced by Boone Ashworth (@booneashworth). Our theme music is by Solar Keys.
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Transcript
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| 0:00.0 | Lauren. |
| 0:00.9 | Mike. |
| 0:01.6 | Lauren, have you ever been correctly identified by facial recognition technology? |
| 0:06.1 | I mean, I think I have been because I use an iPhone and when I go to the airport, I use a service like Clear, which zeros and on your irises, which kind of bizarre. |
| 0:15.8 | But I don't think, I think what you're asking is have I been identified by some kind of like governing body or agency |
| 0:23.2 | by my face for something? Not that I'm aware of. I mean, maybe I have, but not that I'm aware of. |
| 0:29.3 | Has anybody ever knocked on your door and said, we know you were here because our computer vision saw |
| 0:34.6 | you there? No, has that happened to you? It has not yet. |
| 0:38.4 | Okay. |
| 0:38.9 | I'm sure it will soon. |
| 0:39.7 | It's also increasingly common because law enforcement is ramping up its use of official recognition technology to ID suspects around the United States. |
| 0:49.9 | And it is not always accurate. |
| 0:53.5 | Yeah, we should talk about that. |
| 0:55.0 | We will. |
| 1:00.3 | Hi, everyone. |
| 1:03.3 | Welcome to Gadget Lab. |
| 1:04.3 | I am Michael Colori. |
| 1:05.7 | I'm a senior editor at Wired. |
| 1:07.0 | And I'm Lauren Good. |
| 1:07.9 | I'm a senior writer at Wired. |
| 1:09.4 | We're also joined this week by Wired |
| 1:11.4 | senior writer, Carrey, welcome to the show. Thank you for having me. Of course, in person, no |
... |
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