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I downloaded and configured software that uses machine learning to perform a convincing digital face-swap. Norse: It's a Kind of Magic. Right: The software takes several hours to produce a good face swap. The resulting video can seem wonky, but OpenFaceSwap will automatically blur the edges and adjust the coloring of the newly transplanted face to make things look more genuine. Why should I vote for Trump? And this could contribute to the further erosion of rational political debate. A Fitting Ad for Trump. Now imagine throwing new kinds of real-looking fake videos into the mix: politicians mouthing nonsense or ethnic insults, or getting caught behaving inappropriately on video—except it never really happened. Neither accusation was true, but the possibility of sophisticated fakery is increasingly diminishing the credibility of real information. This April, the Russian government accused Britain of faking video evidence of a chemical attack in Syria to justify proposed military action. Sign up for free! But the process is easy enough. The clip, which began circulating on the messaging platform WhatsApp, showed footage of missiles blasting off as a newscaster told viewers that the German city of Mainz had been destroyed along with parts of Frankfurt. Getting things to work is a bit of an art: if you choose clips that are too different, the result can be a nightmarish mishmash of noses, ears, and chins. Why do libturd states consider it 2 murders if you kill a pregnant woman. Gluten intolerance :.

make america great again porn

Guess what? I just got hold of some embarrassing video footage of Texas senator Ted Cruz singing and gyrating to Tina Turner. His political enemies will have great fun showing it during the midterms. I downloaded and configured software that uses machine learning to perform a convincing digital face-swap.

Photo fakery is far from new, but artificial intelligence will completely change the game. Until recently only a big-budget movie studio could carry out a video face-swap, and it would probably have cost millions of dollars. AI now makes it possible for anyone with a decent computer and a few hours to spare to do the same thing. Further machine-learning advances will make even more complex deception possible—and make fakery harder to spot.

These advances threaten to further blur the line between truth and fiction in politics. Already the internet accelerates and reinforces the dissemination of disinformation through fake social-media accounts. Fake news stories, aside from their possible influence on the last US presidential election, have sparked ethnic violence in Myanmar and Sri Lanka over the past year. Now imagine throwing new kinds of real-looking fake videos into the mix: politicians mouthing nonsense or ethnic insults, or getting caught behaving inappropriately on video—except it never really happened.

Seife confesses to astonishment at how quickly things have progressed since his book was published, in How do we decide what is credible? Whom do we trust? These still images of Ted Cruz and Paul Rudd were taken from the footage that was fed to a face-swapping program. Add artificial-intelligence software, which allows things to be distorted, remixed, and synthesized in mind-bending new ways. It lets a computer learn how the world looks and sounds so it can conjure up convincing simulacra.

I created the clip of Cruz using OpenFaceSwap, one of several face-switching programs that you can download for free. You need a computer with an advanced graphics chip, and this can set you back a few thousand bucks. But you can also rent access to a virtual machine for a few cents per minute using a cloud machine-learning platform like Paperspace.

Then you simply feed in two video clips and sit back for a few hours as an algorithm figures out how each face looks and moves so that it can map one onto the other. Getting things to work is a bit of an art: if you choose clips that are too different, the result can be a nightmarish mishmash of noses, ears, and chins.

Getting things to work is a bit of an art: if you choose clips that are too different, the results can be a mishmash of noses, ears, and chins. Face-swapping was, predictably, first adopted for making porn. Even Reddit, a notoriously freewheeling hangout, banned such nonconsensual pornography. But the phenomenon persists in the darker corners of the internet. OpenFaceSwap uses an artificial neural network, by now the go-to tool in AI. They can also be used to manipulate and synthesize images.

The trick is to feed the encoded data for one face into the decoder for the other. The resulting video can seem wonky, but OpenFaceSwap will automatically blur the edges and adjust the coloring of the newly transplanted face to make things look more genuine.

Left: OpenFaceSwap previews attempted face swaps during training. Early tries can often be a bit weird and grotesque. Right: The software takes several hours to produce a good face swap. The more training data, the better the end result.

A startup called Lyrebird has posted convincing demos of Barack Obama and Donald Trump saying entirely made-up things. Lyrebird says that in the future it will limit its voice duplications to people who have given their permission—but surely not everyone will be so scrupulous.

A startup has posted convincing demos of Barack Obama and Donald Trump saying entirely made-up things. There are well-established methods for identifying doctored images and video. One option is to search the web for images that might have been mashed together.

A more technical solution is to look for telltale changes to a digital file, or to the pixels in an image or a video frame. This effort has only just begun, though, and it may ultimately be hindered by how realistic the automated fakes could become. Networks of deception. One of the latest ideas in AI research involves turning neural networks against themselves in order to produce even more realistic fakes.

GANs can be trained to produce surprisingly realistic fake imagery. Beyond copying and swapping faces, GANs may make it possible to synthesize entire scenes and people that look quite real, turning a daytime scene into a nighttime one and dreaming up imaginary celebrities.

Most worrying, the technique could also be used to evade digital forensics. The clip, which began circulating on the messaging platform WhatsApp, showed footage of missiles blasting off as a newscaster told viewers that the German city of Mainz had been destroyed along with parts of Frankfurt. It was, of course, entirely fake, and the BBC rushed to denounce it.

The proliferation of AI programs will make such videos far easier to make, and even more convincing. Just as we are now accustomed to questioning whether a photograph might have been Photoshopped, AI-generated fakes could make us more suspicious about events we see shared online. And this could contribute to the further erosion of rational political debate. In The Death of Truth , published this year, the literary critic Michiko Kakutani argues that alternative facts, fake news, and the general craziness of modern politics represent the culmination of cultural currents that stretch back decades.

Kakutani sees hyperreal AI fakes as just the latest heavy blow to the concept of objective reality. Perhaps the greatest risk with this new technology, then, is not that it will be misused by state hackers, political saboteurs, or Anonymous, but that it will further undermine truth and objectivity itself.

This already serves as a way for politicians to evade accountability. President Trump has turned the idea of fake news upside down by using the term to attack any media reports that criticize his administration. He has also suggested that an incriminating clip of him denigrating women, released during the campaign, might have been digitally forged.

This April, the Russian government accused Britain of faking video evidence of a chemical attack in Syria to justify proposed military action. Neither accusation was true, but the possibility of sophisticated fakery is increasingly diminishing the credibility of real information.

In Myanmar and Russia new legislation seeks to prohibit fake news, but in both cases the laws may simply serve as a way to crack down on criticism of the government. As the powerful become increasingly aware of AI fakery, it will become easy to dismiss even clear-cut video evidence of wrongdoing as nothing more than GAN-made digital deception.

Skip to Content. But the process is easy enough. Networks of deception One of the latest ideas in AI research involves turning neural networks against themselves in order to produce even more realistic fakes. GANs can turn daytime scenes into nighttime ones and dream up imaginary celebrity faces. Perhaps the greatest risk is that the technology will further undermine truth and objectivity.

The truth will still be out there. But will you know it when you see it? Latest content Load more.

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