Previously it took at least one CGI artist to convincingly fake video, probably several. This inherently limits how much of a problem it can be, because it doesn't scale. AI scales.
I mean- either deep learning AI automation is going to be important and useful, or it isn't. If replacing all drivers with robots is important, then automated turnkey fakery has the potential for disrupting something, isn't it?
There's a shockingly large number of people who aren't even convinced that election meddling took place in 2016, or that propaganda was disseminated to many people on social media, despite unanimity from US intelligence.
If we as a society can't all agree that these things even happened, how can we hope to properly educate people on the existence/prevalence of fake video? It seems like common sense to many people, but we can't assume that everyone will accept these truths based on the political rhetoric we've seen in the last few years.
And yet, fake news does seem to be a problem. Checking provenance of facts and statistics is often skipped, even by journalists, let alone on Twitter.
This suggests that people will have lots of fun resharing deep fakes and won't care much that they're fake, as long as they express some emotion that they agree with.
Give people a fake that they want to believe in, and it's going to be very hard to talk them out of it.
Deepfakes' destruction of the credibility of videos is still worse because it totally removes the ability of a random citizen witness to capture evidence. This has been useful in the past, e.g. for documenting police brutality or just-developing events like shootings.
In a way this is a very undemocratic development -- putting the power of deepfakes in the hands of ordinary people is going to make everybody a less credible witness, no?
The police/etc have the same problem.
> putting the power of deepfakes in the hands of ordinary people is going to make everybody a less credible witness, no?
"Ordinary people" have a major advantage: parallelism and redundancy. Making one fake and disseminating it to many people is efficient and cheap. Faking many videos in a way that avoids easily discovered contradictions is very hard. Evidence always needs to be corroborated.
The whole Cambridge Analytica debacle started blowing up after deepfakes gained notoriety and started getting banned on most sites. The whole time I was watching the undercover documentary Channel 4 released I kept thinking, "this 'found footage' could easily be a hoax"
Video of the Prime Minister/President taking bribes? Eh, you can't trust these videos these days!
In a court of law, presumably video will now be subject to the same scrutiny as photos. IANAL but I imagine photos do not "stand alone" - the side that uses them has to make a convincing argument that they are trustworthy.
It's the court of public opinion that worries me. That court is very important to the functioning of a liberal democracy. If the facts themselves are always open to suspicion, a society cannot defend itself very well against tyranny.
Photos, and by corollary video, haven't been incontrovertible for at least two decades, and Hollywood movies are a clear demonstration of that fact.
We won't really be able to rely on pictures as proof, at some point in the immediate future.
Unfortunately, in an ever-more terrifying far-flung future, where eye surgery becomes sufficiently advanced, we won't even be able to trust our eyes. After that, I think it's probably just game over.
I really just don't have a strategy to countermand that one.
That being said, movements like the anti-vaxxers and the flat-Earthers are testament to people's ability to believe whatever the hell they want.
Everyone knows that a still image can be altered to (convincingly) depict something that never happened. So, a still image is not considered good evidence of anything unless it has a verifiable provenance, chain of custody etc. Presumably that wasn't always the case, but now that photo editing tech is universally accessible, we all know we can't trust a still image unless its authenticity can be corroborated somehow.
The deepfake tech merely puts video into the same category of (un)trustworthiness. The potential for abuse depends on people's trust that video is always authentic. So the "solution" is simply to make it as widely-known as possible that video is now easy to fake.