Which of These Faces Is Real?

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These people may look like users you've seen on Facebook, Twitter, Tinder or a host of product reviews on Amazon, but in reality they do not exist.

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Computers are getting ever better at generating realistic, entirely imaginary people. But the flaws are all ours.

These creations became possible only in recent years thanks to a new type of artificial intelligence called a generative adversarial network, or GAN. In essence, you feed a computer program a heap of photos of real people. It studies them and tries to come up with its own photos of people, while another computer program tries to detect which of those photos are of fake people. The back-and-forth makes the end product ever more indistinguishable from the real thing.

Facial recognition programs are used by law enforcement to identify and arrest criminal suspects . A company called Clearview AI scraped the web of billions of public photos — casually shared online by everyday users — to create an app capable of recognizing a stranger from one photo. The technology promises superpowers the ability to organize and process the world in a way that wasn’t possible before.

Artificial intelligence can make our lives easier, but ultimately it is as flawed as we are, because we are behind all of it. Humans choose how AI systems are made and what data they are exposed to. We choose the voices that teach virtual assistants to hear, leading these systems not to understand people with accents. We label the images that train computers to see; they then associate glasses with “dweebs” or “nerds.

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