Facebook moves to ban deepfakes ahead of 2020 election


Hey everyone welcome back to Tech Talk
and happy 2020 ahead of this year’s u.s. presidential election Facebook is
attempting to crack down on the spread of misinformation by banning deep fakes
but critics argue the move doesn’t cover enough stick around so before we talk
about why Facebook banned deep fakes and why it could be a really important move
ahead of the 2020 election here in the US let’s first talk about what a deep
fake is a deep fake is a doctored video and it’s sometimes created with the help
of artificial intelligence or machine learning meaning that it can be pretty
much completely made-up but it appears really realistic so Facebook banning
deep fakes ahead of the 2020 election is pretty important because if a deep fake
video of a candidate for president or a politician came out ahead of the
election it absolutely has the potential to influence people’s votes and their
decisions when it comes to nominating a candidate for president and then
eventually voting for one and as we know in the past Facebook has had a
misinformation problem in the 2016 election so then sort of being proactive
about deep fakes and catching deep fakes now could be beneficial to stop
spreading disinformation and misinformation there’s actually a pretty
famous and actually pretty funny example of a deep fake that was floating around
online maybe a year or two ago I think it was in 2018 and Jordan Peele is
impersonating Barack Obama and in the video Jordan Peele as Barack Obama is
saying all these crazy things about politics and he said something about
Black Panther and at the end it’s revealed to be a Jordan Peele but it
looks edding sounds exactly like President Obama and this goes beyond
just makeup and costume it really goes into how this video is
computer-generated that makes it look so realistic
so Facebook’s new policy when it comes to deep fakes is to remove deep fake
videos that are created with AI or ml and videos that are and this is a quote
from face book edited or synthesized beyond adjustments for clarity or
quality in ways that aren’t apparent to the average person and would likely
mislead and quote so what they’re saying here is that if the average person could
not differentiate that deep fake video from a video of an actual person
or something that actually happened it would be removed videos that are edited
though just in general wouldn’t be removed
obviously videos are edited all the time for quality audio quality video quality
but there’s also some misleading videos that wouldn’t necessarily be removed as
a deep fake as an example it wouldn’t remove the sort of quote/unquote drunk
video of US House Speaker Nancy Pelosi in which her movements and speech were
slowed this is sometimes called a cheap thick or shallow fake in this example it
was a real video that someone just went in and edited in post-production
probably in a pretty common video editing software and slowed it down the
reason that that video wasn’t deleted and wouldn’t be deleted going forward
under this new deep fake policy is because there isn’t a facebook policy
stating that all information on Facebook needs to be true as we all probably know
all information on Facebook is not always true so this would continue to be
the case another important thing to note about this policy is that it’s not going
to be enforced in the cases of parody or satire I’m not really sure how exactly
that’s gonna be evaluated but if it’s for the purpose of entertainment
probably will be safe and on that note it remains to be seen how exactly
Facebook is going to go about enforcing this policy whether there’s gonna be
some sort of automated process or humans are going to be evaluating the videos or
some combination of the two so I want to know what you guys think is this the
right move how far should Facebook go to crackdown on spreading misinformation
let me know your thoughts in the comments below and be sure to give this
video a thumbs up and subscribe to our channel if you like this video thanks so
much for watching and we’ll see you next time




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