If AI and deep fakes can listen to a video or audio of a person and then are able to successfully reproduce such person, what does this entail for trials?
It used to be that recording audio or video would give strong information which often would weigh more than witnesses, but soon enough perfect forgery could enter the courtroom just as it’s doing in social media (where you’re not sworn to tell the truth, though the consequences are real)
I know fake information is a problem everywhere, but I started wondering what will happen when it creeps in testimonies.
How will we defend ourselves, while still using real videos or audios as proof? Or are we just doomed?
Disclaimer: I’m not an expert, just an interested amateur wanting to chat and drawing from comparisons from past leaps in tech and other conversations/videos.
For a time expert analysis will probably work. For instance, the “click here to prove your not a robot” boxes can definitely be clicked by robots, but for now the robot moves in detectably different way. My guess is that, for at least a while, AI content will be different from actual video in ways like code. There will probably be an arms race of sorts between AI and methods to detect AI.
Other forms of evidence like DNA, eyewitness accounts, cell phone tracking etc. will likely help mitigate deceitful AI somewhat. My guess is that soon video/audio will no longer be considered as ironclad as it was even a few years ago.
There are discussions about making AI tools have a digital “watermark” than can be used to identify AI-generated content. Of course this won’t help with black market-type programs, but it will keep most people out of the “deep fake for trials” game.
When it comes to misinformation on social media though, well…it’s probably going to get crazy. The last decade or so has been a race at an unprecedented scale to try and keep up with BS “proof”, psuedoscience, etc. Sadly those on the side of truth haven’t always won. The only answer I have for that is making sure people are educated about how to deal with misinformation and deepfakes - eg. awareness they exist, identifying reputable sources and expert consensus, and so on.