Think you can tell between a real and computer-generated face? This website will test you.


So you might've been a bit freaked out about those extremely realistic, computer generated faces. Could you tell they were fake? Now, you can put yourself to the test with a website called SEE ALSO: This website uses AI to generate faces of people who don't exist It's a simple quiz to determine if you're good at telling the difference between a real human face and one created by an artificial intelligence algorithm. The fake faces are generated by StyleGAN, an algorithm by Nvidia researchers designed to create artificial images that are indistinguishable from real photographs.

Can you tell the difference between a real face and an AI-generated fake?


Earlier this month you may have seen a website named doing the rounds, which uses AI to generate startlingly realistic fake faces. Just head to the site and click on who you think is the real person! It was set up by two academics from the University of Washington, Jevin West and Carl Bergstrom, both of whom study how information spreads through society. They think the rise of AI-generated fakes could be trouble, undermining society's trust in evidence, and want to educate the masses. "When a new technology like this comes along, the most dangerous period is when the technology is out there but the public isn't aware of it," Bergstrom tells The Verge.

From Faces to Kitties to Apartments: GAN Fakes the World


With just a mouse click, you can delight in mega-litters of adorable kitties, admire countless fresh anime characters, or stare into the twinkling eyes of all sorts of beautiful people. The only catch is that they're all fake. As Synced previously reported, these hyperrealistic images now flooding the Internet come from US chip giant NVIDIA's StyleGAN, a generative adversarial network based face generator that performs so well that most people can't distinguish its creations from photos of real people. Soon after StyleGAN was open-sourced earlier this month, Uber software engineer Philip Wang used the tool to create "This Person Does Not Exist," a website which generates a new hyperrealistic fake human face every time it's refreshed. The site quickly went viral and has been covered by major global media.

Call you tell a real face from an AI-generated one?


There's fake news, fake Nigerian princes, fake weather, even deep fakes of celebrities … but if you see a picture of someone on the internet, whether it's been used legitimately or is identity theft, it must be of a real person, right? Neural networks have become so sophisticated that they can generate convincing images of people who don't exist. Using what is known as a generative adversarial network (GAN) approach, two neural networks essentially play a game of cat and mouse: one learns from a database of real face and creates an artificial image, the other network helps it improve by guessing if the face is real or not. This technology, claim Jevin West and Carl Bergstrom at the University of Washington, is now being used in espionage to create false identities. They have created a game called Which Face Is Real, in order to show people how good these neural networks are at generating fictional human faces.

The A.I. "Gaydar" Study and the Real Dangers of Big Data


Every face does not tell a story; it tells thousands of them. Over evolutionary time, the human brain has become an exceptional reader of the human face--computerlike, we like to think. A viewer instinctively knows the difference between a real smile and a fake one. In July, a Canadian study reported that college students can reliably tell if people are richer or poorer than average simply by looking at their expressionless faces. Scotland Yard employs a team of "super-recognizers" who can, from a pixelated photo, identify a suspect they may have seen briefly years earlier or come across in a mug shot.