Federal regulatorsoutlawed deepfake robocallson Thursday, like the onesimpersonating President Biden in New Hampshires primary election.
Meanwhile,OpenAI and Google released watermarksthis week to label images as AI-generated.
However, these measures lack the teeth necessary to stop AI deepfakes.
Photo: Kitreel (Shutterstock)
It just needs to happen across the board.
Currently, werecatching deepfakes after the damage is done, and rarely punishing the bad actors responsible.
Thats way too slow, and its not actually addressing the problem at hand.
OpenAI introduced watermarks to Dall-Es images this week, both visually and embedded in a photos metadata.
However, the company simultaneouslyacknowledged that this can be easily avoided by taking a screenshot.
Meanwhile, deepfakes of a finance workers boss in Hong Kongduped him out of $25 million.
It was a shocking case that showed how deepfake technology is blurring the lines of reality.
The Deepfake Problem Is Only Going to Get Worse
These solutions are simply not enough.
Platforms like Meta, X, and even your phone company need to embrace deepfake detection.
These companies are making headlines about all their new AI features, but what about their AI-detecting features?
If youre watching a deepfake video on Facebook, they should have a warning about it.
If youre getting a deepfaked phone call, your service provider should have software to catch it.
These companies cant just throw their hands in the air, but they are certainly trying to.
Deepfake detection technology also needs to get a lot better and become much more widespread.
Currently, deepfake detection is not 100% accurate for anything, according to Copyleaks CEO Alon Yamin.
Deepfake detection is lagging generative AI, and it needs to ramp up, fast.
Deepfakes are trulythe new misinformation, but its so much more convincing.
News from the future, delivered to your present.
How long it will last is an open question.
Meta Pissed Off Everyone With Poorly Redacted Docs
Meta is being very transparent on accident.
