Horrifying deepfake video blends Jennifer Lawrence and Steve Buscemi in latest example of the 'nightmare' technology Latest deepfakes video shows Steve Buscemi's face on Jennifer Lawrence's body Deepfakes use machine learning to create 'masks' that are put onto real footage In the past, technique has been used to put actors' faces on porn stars' bodies By Cheyenne Macdonald and Annie Palmer For Dailymail.com Published: 23:47 GMT, 31 January 2019 | Updated: 16:12 GMT, 1 February 2019 168 shares 131 Viewcomments An unnerving new video that appears to show Steve Buscemi’s face seamlessly molded onto Jennifer Lawrence’s head is yet another example of the worrying advancements of ‘deepfakes’ videos. The clip will sound familiar to anyone who remembers Lawrence’s speech backstage at the 2016 Golden Globes – but the words are instead coming out of Buscemi’s mouth. Horrified social media viewers have been sharing the clip of ‘Jennifer Buscemi’ across the internet this week, with many calling it the stuff of nightmares. https://www.youtube.com/embed/r1jng79a5xc?feature=oembed An unnerving new video appears to show Steve Buscemi’s face seamlessly molded onto Jennifer Lawrence’s body The clip was first posted by Reddit user VillainGuy at the beginning of January. It’s since been shared thousands of times. On https://www.youtube.com/watch?v=r1jng79a5xc, VillainGuy simply wrote: 'Steve Buscemi + Jennifer Lawrence discussing her favorite/least favorite housewives on the Bravo channel. Trained on my custom model, trying to achieve more detail!' Over the last year, deepfakes videos have become a growing concern. Deepfakes are digitally-altered videos that use sophisticated machine learning algorithms to create human masks that are then overlaid on top of real footage. This past spring, a similar video appeared to show former president Barack Obama calling Donald Trump a ‘total and complete dips***. And, numerous celebrities have been the victims of deepfakes porn, including Gal Gadot and Emma Watson, in which their face has been superimposed to that of a pornstar in a video. Several sites have taken a stand against these deceptive videos, including Pornhub, Twitter and Reddit, who all banned the AI-generated porn from being posted on their platforms last year. Horrified social media viewers have been have been sharing the clip of ‘Jennifer Buscemi’ across the internet this week, with many calling it the stuff of nightmares The clip will sound familiar to anyone who remembers Lawrence’s speech backstage at the 2016 Golden Globes – but the words are instead coming out of Buscemi’s mouth The latest example is much less malicious, although it’s still left many viewers feeling disturbed in its own way. Experts have increasingly warned that the technique could soon fuel the spread of misinformation. Deepfakes hobbyists have used the controversial video-editing technology to create short clips of world leaders, including Trump, Russian president Vladimir Putin as well as presidential candidate and former first lady Hillary Clinton. Some experts have said the videos could be realistic enough to manipulate future elections and global political as soon as 2020. HOW DOES FACE-SWAPPING AI WORK? A team led by Stanford University scientists has created an AI that can swap the facial movements of a person in one video to the subject of another. The AI works by first analysing the intricate facial movements of a target, whose likeness will be used in the fake video. It picks out the target's head tilts, eye motion, mouth details, blinks and learns their typical movements. The software then analyses these same landmarks on a face in a source video - the one whose movements will be swapped to the target. After it captures the nuanced facial movements of the source, the AI reproduces them using the target's own, natural expressions. This creates a strikingly realistic fake clip because the target's normal face movements and ticks are emulated. The AI learns using an Adverserial Neural Network, a relatively new type of AI that rapidly trains itself to recognise patterns in data. Two AIs are pitched against one another, one to create, the other to analyse, in a string of millions of back-and-forth adjustments. This makes the learning process quicker and more accurate than if a human were to analyse each of the AI's attempts. Read more: Share or comment on this article: All rights reserved for this news site dailymail and under his responsibility