![]() We choose the voices that teach virtual assistants to hear, leading these systems not to understand people with accents. systems are made and what data they are exposed to. In January, a Black man in Detroit named Robert Williams was arrested for a crime he did not commit because of an incorrect facial-recognition match.Īrtificial intelligence can make our lives easier, but ultimately it is as flawed as we are, because we are behind all of it. Moreover, cameras - the eyes of facial-recognition systems - are not as good at capturing people with dark skin that unfortunate standard dates to the early days of film development, when photos were calibrated to best show the faces of light-skinned people. In 2015, an early image-detection system developed by Google labeled two Black people as “gorillas,” most likely because the system had been fed many more photos of gorillas than of people with dark skin. Thanks to underlying bias in the data used to train them, some of these systems are not as good, for instance, at recognizing people of color. The technology promises superpowers: the ability to organize and process the world in a way that wasn’t possible before.īut facial-recognition algorithms, like other A.I. 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 just one photo. ![]() ![]() Facial recognition programs are used by law enforcement to identify and arrest criminal suspects (and also by some activists to reveal the identities of police officers who cover their name tags in an attempt to remain anonymous). You can use your face to unlock your smartphone, or tell your photo software to sort through your thousands of pictures and show you only those of your child. Detection will only get harder over time.”Īdvances in facial fakery have been made possible in part because technology has become so much better at identifying key facial features. “It’s a reminder of how quickly the technology can evolve. “When the tech first appeared in 2014, it was bad - it looked like the Sims,” said Camille François, a disinformation researcher whose job is to analyze manipulation of social networks. It will become increasingly difficult to tell who is real online and who is a figment of a computer’s imagination. Given the pace of improvement, it’s easy to imagine a not-so-distant future in which we are confronted with not just single portraits of fake people but whole collections of them - at a party with fake friends, hanging out with their fake dogs, holding their fake babies. The portraits in this story were created by The Times using GAN software that was made publicly available by the computer graphics company Nvidia. The back-and-forth makes the end product ever more indistinguishable from the real thing. It studies them and tries to come up with its own photos of people, while another part of the system tries to detect which of those photos are fake. In essence, you feed a computer program a bunch of photos of real people. The creation of these types of fake images only became possible in recent years thanks to a new type of artificial intelligence called a generative adversarial network. Choosing different values - like those that determine the size and shape of eyes - can alter the whole image. system sees each face as a complex mathematical figure, a range of values that can be shifted. system to understand how easy it is to generate different fake faces. These simulated people are starting to show up around the internet, used as masks by real people with nefarious intent: spies who don an attractive face in an effort to infiltrate the intelligence community right-wing propagandists who hide behind fake profiles, photo and all online harassers who troll their targets with a friendly visage. If you want your fake person animated, a company called Rosebud.AI can do that and can even make them talk. Adjust their likeness as needed make them old or young or the ethnicity of your choosing. If you just need a couple of fake people - for characters in a video game, or to make your company website appear more diverse - you can get their photos for free on. On the website Generated.Photos, you can buy a “unique, worry-free” fake person for $2.99, or 1,000 people for $1,000. There are now businesses that sell fake people. ![]()
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