It’s Getting Harder to Spot a Deep Fake Video

“We’re entering an era in which our enemies can make anyone say anything at any point in time.” Jordan Peele created this fake video of President Obama to demonstrate how easy it was to put words in someone else’s mouth- moving forward we need to be more vigilant with what we trust from the internet. not everyone bought it, but the technology behind it is rapidly improving, even as worries increase about its potential for harm. This is your Bloomberg QuickTake on Fake Videos. Deep fakes, or realistic-looking fake videos and audio, gained popularity as a means of adding famous actresses into porn scenes. Despite bans on major websites, they remain easy to make and find. They’re named for the deep-learning AI algorithms that make them possible. Input real audio or video of a specific person- the more, the better- and the software tries to recognize patterns in speech and movement. Introduce a new element like someone else’s face or voice, and a deep fake is born. Jeremy Kahn: It's actually extremely easy to make one of these things… there was just some breakthroughs from academic researchers who work with this particular kind of machine learning in the past few weeks, which would drastically reduce the amount of video you need actually to create one of these. Programs like FakeApp, the most popular one for making deep fakes, need dozens of hours of human assistance to create a video that looks like this rather than this, but that’s changing. In September researchers at Carnegie-Mellon revealed unsupervised software that accurately reproduced not just facial features, but changing weather patterns and flowers in bloom as well. But with increasing capability comes increasing concern. You know, this is kind of fake news on steroids potentially. We do not know of a case yet where someone has tried to use this to perpetrate a kind of fraud or an information warfare campaign, or for that matter, to really damage someone’s reputation// but it’s the danger that everyone is really afraid of. In a world where fakes are easy to create- authenticity also becomes easier to deny. People caught doing genuinely objectionable things could claim evidence against them is bogus. Fake videos are also difficult to detect, though researchers and the US Department of Defense, in particular, have said they’re working on ways to counter them. Deep Fakes do however have some positive potential- take CereProc, who creates digital voices for people who lose theirs from disease… There are also applications that could be considered more value-neutral, like the many, many deep fakes that exist solely to turn as many movies as possible into Nicolas Cage movies.

Channel: Bloomberg Quicktake

Views: 5,529,292

Rating: 4.8216376 out of 5

Keywords: News, bloomberg, Deep fake, fake video, fake news, Putin, Trump, Fake Audio, Media, Voice impersonator, Digital Clones, QuickTake, deepfake, artificial intelligence

Id: gLoI9hAX9dw

Length: 2min 58sec (178 seconds)

Published: Thu Sep 27 2018

Reddit Comments

[u/my_next_account]

Interesting topic, but this video really fails to deliver. Who tf is that dude with the headset and why does he sound like he's calling in from the 90s? Why is his video so out of sync with his audio? Why are all the examples of deep fakes bad and sped up? Why do the worst examples of the technology get the most screen time?

[u/usta-could]

Well, pack it in. Time to move off the grid.

[u/NeedHelpWithExcel]

It's still obviously fake to anyone who's been using the internet more than 3 weeks

[u/garythegoatsghost]

If you really want to be terrified of Deepfakes, check out this one of Nicolas Cage(NSFW)&(NSFL)

[u/SXOSXO]

30 years later, and the plot from The Running Man is coming to life.

[u/PitaJ]

People and firms need to start cryptographically signing videos. It's the only way of guaranteeing authenticity in the long run.

[u/yaosio]

Who needs deepfakes when people will believe any written text? In a study, participants were given an article to read about Jackalopes, a fictional animal, destroying crops in Iowa. They only included participants that said jackalopes did not exist, yet 37% of participants said the state should do more to stop Jackalopes from destroying the crops.

[u/auctor_ignotus]

Oh this is just super! Let’s keep working on this.

[u/WarAndGeese]

What does Jordan Peele have to do with this? Someone else made it and they wanted more people to see it so got him to attach his name to it?