Lauren: So you are the editor in chief here at WIRED, and you've been talking a lot about AI, so I wanted to see how good you are at telling regular human-made music apart from AI-generated music. Gideon: I mean, I can barely tell music by one human apart from another sometimes. So, uh, you know, you might be disappointed, but I will do my best. Lauren: Let's hear the second one. Lauren: First, I'm curious if you know who the artist is. Gideon: I have no idea.

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 be 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 content can also be viewed on the site it originates from. 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.

Martina's few words: Last time I wondered: how could we be sure someone is the person she claims to be? We have talked about digital identity services, and I hypothesized that I would surely use some GAN applications if I ever wanted to fool them. Anyway, when Louis suggested talking about GANs in image restoration this week, I was still thinking about the identity problem. I mean, every digital image is an attempt to simulate reality. The human sight itself is subject to bias and errors.