Artificial-Intelligence is coming for our faces
 

https://media.wired.com/photos/5d0a7...aces_Most.jpeg

This is the face that fooled the most people—57 percent thought it was real.

https://media.wired.com/photos/5d0a7...Faces_Real.jpg

Which one of these faces is real?

REAL FACE: #3 (THE FACT-CHECKER ON THIS STORY, SARASWATI RATHOD)
PHOTOS: CARL BERGSTROM AND JEVIN WEST/UNIVERSITY OF WASHINGTON; PHILIP WANG/THISPERSONDOESNOTEXIST.COM


https://www.wired.com/story/artifici...ce-fake-fakes/

https://twitter.com/i/status/1143166289097175041

EVERY STRANGER’S FACE hides a secret, but the smiles in this crowd conceal a big one: These people do not exist. They were generated by machine learning algorithms, for the purposes of probing whether AI-made faces can pass as real. (Call it a Turing beauty contest.) University of Washington professors Jevin West and Carl Bergstrom generated thousands of virtual visages to create Which Face Is Real?, an online game that pairs each counterfeit with a photo of a real person and challenges players to pick out the true human. Nearly 6 million rounds have been played by half a million people. These are some of the faces that players found most difficult to identify as the cheery replicants they are.

The faces were made using a technique invented in 2018 by researchers at Nvidia, the graphics processor company. Trained for a week on a massive data set of portraits, a neural network became capable of mimicking visual patterns and spitting out striking images of nonexistent people. (Some of the software’s guts resemble the code that swaps faces in so-called deepfake videos.) West and Bergstrom made their game in part to prepare the public for a phonier future. “We wanted people to be aware that you can create these kind of images,” West says.

The fakes aren’t flawless—the software doesn’t know the rules of human anatomy and struggles with backgrounds and earrings. On average, players could identify the reals nearly 60 percent of the time on their first try. The bad news: Even with practice, their performance peaked at around 75 percent accuracy. West hopes that studying how we fall for inhuman humans may lead to tools that can help unmask them; future research may include tracking people’s eye movements as they gaze upon unreal faces. Physiognomy-forging technology will only get better, and so will chatbot software that can put false words into fake mouths. Did you just swipe right on a bot? Ah well, the world is full of deceptions. WIRED hid a ringer on this very page: One of the faces pictured is, in fact, real. Can you find it?

There is nothing 'AI' about it. Just graphics programming.
Guess that takes the click bait away though doesn't it.

But that is old news anyway.

But you should be worried about facial recognition already alive and well.
But even that is not true 'AI'

Link if you want to play the game yourself Which Face is Real?

We played 2 rounds and got both wrong.

Along those lines...check this out.

I saw this... the company that made this is pretty cool but from the moment the door opens you can tell that its not Tom Cruise. There's something wrong with the shape of the face. I've seen better deep fakes than this one.

The reason it's best deep fake is because the of the performance by the impersonator PLUS the digital trickery.

#computervision in action! #AI #deeplearning #deepfakes #FacialRecognition
 

https://i.ytimg.com/vi/L-ypuw7iyO8/hqdefault.jpg

I know. WAY too tall... :2 cents:

bumping non-political threads to the front page