there then jane center adding another early in the 2nd half and golden boy erlang holland i mean he is just on fire setting a record by netting his 8th goal in his 1st 5 buddhist league games just a few minutes later and then rafael guerrero rounding out the old line with a quarter of an hour left on the clock for nothing dortmund or finals for that. the. in the light of lingering. africans may see. what's in store. for their future in the. coming for 2 major cities to get insight could enter. the us crime fighter scar back africa's most successful radio drama series continues. this season the stories focus on hate speech cholera prevention

and sustainable charcoal production. all of the zones are available online and of course you can share and discuss on africa's facebook page and other social media platforms. crime fighters to need now. can you spot the fake deep fakes videos faked by a high seem deceptively real and they're a serious threat to society in order to expose deep thanks to experts are embroiled in that battle in the name of science while one of them fakes the other masks we made up with both of them to fix our topic today i'm sure. some defects are funny others are really mean it's fascinating how researchers can

manipulate videos with the help of artificial intelligence i tried out what it was like to control someone else's face. took me out as follows johansen. perfectly. or i do not put in. it's pretty impressive to see how easy that was with the right technology and in. time to i don't even want to imagine what could happen if a fake president declared war how can we stop fake news or deep fakes that's 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. most consider how the 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 sells we are also trying to advance it in order to be able

to detect them right because if you don't understand how they are being generated if you don't have the capability of generating realistic you face there is no way to effectively detect those either his opponents honey fareed uncovers deep banks a professor at the university of california berkeley he's 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 free content so our adversary if i can call them that is not static they are changing and they're changing relief really fast so we start developing these new friends of technology and also there's a whole new way of creating deep fakes and now we have to worry about that as well it's crazy to see how quickly this technology is advancing we're used to it from photos technically we're all able to alter them at home with basic software but

videos a few years ago moving images were proof that something had really happened the fakes have taken this to another level there's growing fear that from information circulating without anyone noticing especially when it comes to big events like the you asked presidential elections whether it's photos or videos they can use isn't new. but it's getting better as both experts warn we've always had fake news from the day of the printing press being developed but here's the difference we this what's new here is not we can create fake news we can create fake images we can create free videos what's 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 here's the real issue instant global publication the most scary thing is that it feels like you're stealing someone's identity and you can put anything anyone to

their mouth and you can make them do whatever you want so far defect technology is used mainly for one purpose porn one study shows that this amounts to 96 percent of the deep fakes 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 the fakes was quickly banned but other users took over his software code and kept expanding it today similar 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 howley explained it to me in los angeles. many deep fakes are based on so-called guns

algorithms that are on supervised meaning they learn without human guidance instead they're trained with raw data real photos for example. you're 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 face red and you're manually you would try to make sure that there's a balance of different lighting condition different expressions and. 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 and they are the checks almost like how legal and honey fairy tale. is like an arms race read you have a generator that tries to generate some images in the beginning you know is 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 it's not good enough so you improve improving and until you would fall the discriminator

so that discriminated can't sell anymore what a difference is in itself improves the algorithms work in their own without human assistance. so much so that it looks like this one minute long video took 4 days to make it's a deep faith generated by how lee and his team. to create it they use face what technology and videos of comedians imitating us politicians. look at the figures for this the fake the algorithms were fed 5000 images but there's no secret recipe for the perfect. sometimes we don't know why we add more data and it gets worse so there's a little bit of. black magic and you know cooking over there we've all got photos on social media right i think it's pretty scary to think that somebody could use my pictures to make a fake video of me that's why methods to flack the fakes quickly and reliably are

becoming more and more important take times like facebook and microsoft have launched the deep fake detection challenge with a prize of nearly 1000000 euros here at the w. we've developed a very few cation program through the media which can help analyze there's just a content there's also a number of specialized startups on the issue how different is an expert in digital forensics he uses how these defects to find his or if occasional programs and he's always on the lookout for the best way to use ai but i 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 that's a sensitive subject since deep fakes are also created with machine learning a detection toll could just as well be used to generate better fakes but honey for read goes beyond the ordinary approach instead of just relying on ai he and his team analyze videos to identify people's 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 can't 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 grid visualizes aspects such as head movement line of vision and facial expressions in order to spot differences honey fairy compares and 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 fake detectors.

to make these $3000.00 videos google employed 20 at actors and then manipulated the images with algorithms so tech time seem to be taking deep thanks faeries seriously and it's 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 what's worse there's no perfect program to help us detect the fakes yet but every new technology has a good side to right to fix also offer f.-u. exciting possibilities for the future imagine 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 and sort 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 it's good enough for you tube videos. which is so

nicholas cage could cost in the godfather. take technology could also bring celebrities back to life like the spanish painter salvador dali. and 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 they're speaking english but super cool like this awareness campaign a 9 languages leiria isn't just any. everything so he said. you get used to being you know what it's being. able to feel i'm going to do what they came to make it's the creators unadmitted 3 d. model of david beckham's face wow that's cool son you might be able to watch me house

shift in hindi or kiswahili completely in sync and perhaps even life it's just a matter of time before we're able to manipulate 4 k. videos in real time it's just up to computers getting a little bit faster but back to more 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 wouldn't know because usually be fooled if they know that there are ways to actually create the to manipulation is extremely believable then you know we hope we will have some way of protection honestly i have to say that both experts hunted for it and how we have managed to call my worries about defects a little fake news 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 facts and the possibilities to manipulate the news the better they can deal with misinformation is something true or false that's not a question of deep fakes what do you think are you scared of manipulated videos or is this all just a storm in a teacup let us know what you think he can do this on you tube to there you can find a video of me getting my very own 3 d. avatar and how nice laugh in los angeles i even sat in the same chair as will smith the hardest part was i had to make 26 different faces check it out on our youtube channel thanks for watching and see you next time.

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use the world becoming less western does it mean for the world. the west leaves the stage to others she questions disappears munich security conference and join us for our coverage security conference 2020 today on. good. hello and welcome to in good shape coming up. autologous blood therapy how does that work. liquid biopsy a new tool for cancer diagnosis.