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"The word "deepfakes" refers to using deep learning, a type of machine learning, to add anyone's face and voice to video. It has been mostly found on the internet's dark corners, where some people have used it to insert ex-girlfriends and celebrities into pornography. But BuzzFeed provided a glimpse of a possible future in April when it created a video that supposedly showed Obama mocking Trump, but in reality, Obama's face was superimposed onto footage of Hollywood filmmaker Jordan Peele using deepfake technology. Deepfakes could pose a greater threat than the fake news and Photoshopped memes that littered the 2016 presidential election because they can be hard to spot and because people are -- for now -- inclined to believe that video is real. But it's not just about individual videos that will spread misinformation: it's also the possibility that videos like these will convince people that they simply can't trust anything they read, hear or see unless it supports the opinions they already hold. Experts say fake videos that will be all but impossible to identify as such are as little as 12 months away."

"Last week, Mona Lisa smiled. A big, wide smile, followed by what appeared to be a laugh and the silent mouthing of words that could only be an answer to the mystery that had beguiled her viewers for centuries. A great many people were unnerved. Ars Technica Join Ars Technica and Get Our Best Tech Stories DELIVERED STRAIGHT TO YOUR INBOX. SIGN ME UP Will be used in accordance with our Privacy Policy Mona's "living portrait," along with likenesses of Marilyn Monroe, Salvador Dali, and others, demonstrated the latest technology in deepfakes-seemingly realistic video or audio generated using machine learning. Developed by researchers at Samsung's AI lab in Moscow, the portraits display a new method to create credible videos from a single image. With just a few photographs of real faces, the results improve dramatically, producing what the authors describe as "photorealistic talking heads." The researchers (creepily) call the result "puppeteering," a reference to how invisible strings seem to manipulate the targeted face. And yes, it could, in theory, be used to animate your Facebook profile photo. But don't freak out about having strings maliciously pulling your visage anytime soon. "Nothing suggests to me that you'll just turnkey use this for generating deepfakes at home. Not in the short-term, medium-term, or even the long-term," says Tim Hwang, director of the Harvard-MIT Ethics and Governance of AI Initiative. The reasons have to do with the high costs and technical know-how of creating quality fakes-barriers that aren't going away anytime soon."

"All it takes is a single selfie. From that static image, an algorithm can quickly create a moving, lifelike avatar: a video not recorded, but fabricated from whole cloth by software. With more time, Pinscreen, the Los Angeles start-up behind the technology, believes its renderings will become so accurate they will defy reality. "You won't be able to tell," said Hao Li, a leading researcher on computer-generated video at USC who founded Pinscreen in 2015. "With further deep-learning advancements, especially on mobile devices, we'll be able to produce completely photoreal avatars in real time.""

"When seeing is no longer believing Inside the Pentagon's race against deepfake videos Advances in artificial intelligence could soon make creating convincing fake audio and video - known as "deepfakes" - relatively easy. Making a person appear to say or do something they did not has the potential to take the war of disinformation to a whole new level. Scroll down for more on deepfakes and what the US government is doing to combat them."