But i stand up with the people to have an think deep into the german culture of. New jersey take this drama day ill do you know if sold out. No time rachel join me for me to have fun to the fullest. The. Can you spot the fake deep fake videos fake by a hired seem deceptively real and theyre a serious threat to society in order to expose steve thanks to x. Ers are embroiled in that battle in the name of science while one of them fakes the other on masts we met up with both of them to fix our topic today im set for. Some defects are funny others are really mean its as. The netting how researchers can manipulate videos with the help of Artificial Intelligence i tried out what it was like to control someone elses face. Check me out as far as johnson. Personally. Or i do not put in. Its pretty impressive to see how easy that was with the right technology and in real time to i dont even want to imagine what could happen if a fake president declared war how can we stop fake news or deep fakes thats what scientists are asking themselves to we met the 2 most renowned the fake experts in the us their academic competition is advancing research on the issue. Not consider how to lead to be the best the fake artist in the world the german Computer Scientist teaches at the university of Southern California and manipulates videos for science you know as hard as it sounds were also trying to advance it in order to be able to detect them right because if you dont understand how theyre being generated if you dont have the capability of generating a realistic you face there is no way to effectively detect those either his opponent honey fareed uncovers deep makes a professor at the university of california berkeley hes a world leading expert in Digital Forensics. I think the biggest obstacle in detection is that the field is moving so quickly every 3 months you see new advances in the creation of fake content so our adversary if i can call them that is not static they are changing and they are changing really fast so we start developing these new friends of technology and i was so theres a whole new way of creating deep fakes and now we have to worry about that as well its crazy to see how quickly this technology is advancing where you strayed from photos technically were all able to alter the. At home with basic software but the deals a few years ago moving images were prove that something had really happened deep fakes have taken this to another level theres growing fear that from information circulating without anyone noticing specially when it comes to big events like the us president ial elections whether its photos or videos take years isnt new but its Getting Better as both experts warn weve always had fake news from the day of the Printing Press being developed but heres the difference we this whats new here is not we can create fake news we can create fake images we can create free videos whats new here is the sophistication with which we can do it the democratization of access so almost anybody on the internet can do it but heres the real issue instant global publication the most scary thing is that it feels like youre stealing someones identity and you can put anything anyone to their mouth and you can make them do whatever you want so far deep technology is used mainly for one purpose porn one study shows that this amounts to 96 percent of the defects online today stars like emma watson and Scarlett Johansson were some of the 1st prominent victims their faces were super imposed on to pornographic videos with the help of ai the program enabling such fakes was 1st uploaded to the online forum reddit the Anonymous User called fakes was quickly banned but other users took over his Software Code and kept expanding it today similar to software is still freely Available Online the name is a combination of deep as and deep learning technology and fake but how exactly do defense work how hard is it to make them look real the effect expert how lete explain it to me in los angeles. Many deep fakes are based on socalled guns ugh. That are on supervised meaning they learn without human guidance instead theyre trained with raw data real photos for example. Youre not modeling anything you just collecting a bunch of pieces all you need just make sure there are lines like this and you crop the feast red and youre manually you would try to make sure that theres a balance of different lighting condition different expressions and it just learns that by itself this is what is so powerful about learning based approaches. The novelty in this approach is that to algorithms Work Together one generates the of the checks almost like how liam honey fairy tale. Is like an arms race read you have a generator that tries to generate some images in the beginning you know its just like some random pixels but then what you try to do is you tell instead of telling it where to improve like traditional supervised learning you just tell it no its not good enough so you will improve improve again until you would for the discriminator so that discriminator cant tell anymore what a difference is that in itself improves the algorithms work on their own without human assistance. So it looks like this one minute long video took 4 days to make its a deep faith generated by how. To create it they use face Web Technology and videos of comedians imitating us politicians. Look at the big foot this the fake algorithms were fed 5000 images but theres no secret recipe for the perfect deep fake yet. Sometimes we dont know why we add more data and the it gets worse. So theres a little bit of. Black magic and you know cooking over there weve all got photos on social media right i think its pretty scary to think that somebody could use my pictures to make a fake video of me thats why methods to flecked the fakes quickly and reliably are becoming more and more important tech giants like facebook and microsoft have launched the deep fake detection challenge with a prize of nearly 1000000 s. Here at the w. Weve developed a very few cation program through the media which can help analyze Digital Content theres also a number of specialized startups on the issue how different is an expert in Digital Forensics he uses how these defects to fine tune his erf occasional programs and hes always on the lookout for the best way to use ai but ai approach is exactly what you think it is you get a bunch of real videos you get a bunch of fake videos and you teach them in Machine Learning system to tell the difference but thats a sensitive subject since fakes are also created with Machine Learning a detection toll could just as well be used to generate better fakes but honey for reed goes beyond the ordinary approach instead of just relying on ai he and his team analyze videos to identify peoples unique facial features we try to understand how do people move how does the mouth move how does the expression change in part because we think that those are properties of the video that the Machine Learning cant currently airlines and that means we are less vulnerable to counterattack so any time you build forensic techniques you always have to ask yourself how will this be used to make better fakes this is great visualizes aspects such as Head Movement line of vision and facial expressions in order to spot differences honey fairy compares a real video with a video that was possibly altered this method detects about 96 percent of faked footage. One possible use for this might be to integrate Detection Software into social Networks Algorithms in the future google has already provided scientists with some 3000 manipulated videos to help improve detectors. To make these 3000. 00 videos google employed 20 at actors and then manipulated the images with algorithms so tech giants seem to be taking deep thanks faeries seriously and its no surprise experts predict the damage caused by manipulated audio and video files could range as high as nearly a quarter 1000000000 euros and 2020 and whats worse theres no Perfect Program to help us detect deep fakes yet but every new technology has a good side to right to fix also offer f. U. Exciting possibilities for the future a magic you can have a customized movie where when you download a movie you can say i want this actor or this actress to be in the movie instead of who it is that sort of. This is a huge opportunity for the movie industry soon visual effects could be much cheaper to produce but so far deep technology cannot create images in the same High Resolution as movies. But its good enough for you tube videos. Which is so nicolas cage good comes from the godfather. De frank technology could also bring celebrities back to life like the spanish painter salvador dali. In the dali museum in florida visitors can even pose for a picture with him. I think one of the most interesting ones is in Hollywood Studios for creating movies so if we have a movie that is filmed in german and we want to listen to it in english you create a lip sync deep fake where the person now it looks like theyre speaking english but super cool like this Awareness Campaign in languages leiria isnt just any. Everything so he said. Do you know what is being. Paid to make its creators animated a 3 d. Model of David Beckhams face wow thats cool someone you might be able to watch me host shift in hindi or a kiswahili completely in sync and perhaps even life its just a matter of time before were able to manipulate 4 k. Videos in real time its just up to computers getting a little bit faster but back to most serious matters people around the world need to know about this new technology how leap presented his face what studio at the World Economic forum in davos the most important thing is actually that people know that this is possible right if they wouldnt know because easily be fooled if they know that their ways to actually create the to manipulation is extremely believable and you know we hope we will have some way of protection but honestly i have to say that both experts hunted for it and how we have managed to call my worries about the fakes a little fake use has always been a huge problem not just today but the Perfect Technology is not even necessary for it. The more people are aware of the fakes and the possibilities to manipulate videos the better they can deal with misinformation is something true or false thats not a question of deep fakes what do you think are you scared off manipulated videos or is this all just a storm in a teacup let us know what you think you can do this on you tube too there you can find a video of me getting my very own 3 d. Avatar and how nice lap and los angeles i even set in the same chair as will smith the hardest part was i had to make 26 different faces take it out on our you tube channel thanks for watching and see you next time. The. Passengers here are informed by. Drivers here need nerves of steel. While passengers here can get an eyeful along the way. Taxis accommodate passengers over the world. Drive or ceiling. I think is everything challenging 1st and i became a muslim. So much different culture between here and there still challenging for. Some business i think it was worth it for me to come to germany. In the got my license to work as a swimming instructor. And. Teach children how to dance to smile. Whats your story take part cherish on info migrants dot net. I. Say. We are living during the most extraordinary time history. Of science for the for the electric. And mobility