You can still tell the difference between real people and deepfakes in videos. But soon the AI technology will become so advanced that even the human eye will stop seeing the substitution
The deepfakes technology used by cryptocurrencies to bypass verification (KYC) on crypto exchanges. Such as Binance, for example, will become more and more sophisticated. This was warned by Binance’s director of security Jimmy Su, Cointelegraph writes.
The technology behind deepfakes consists of artificial intelligence (AI) synthesizing human images. How it works: the program combines several photos of a person with different facial expressions and makes a video out of them.
Cases when fraudsters use this technology in an attempt to bypass the verification process at the exchange have increased, Su told the publication. According to him, the attackers find photos of the victim on the Internet and use them to create dipfakes.
He explained that the tools have become so advanced. And that they can even properly respond in real time to audio instructions when verifying an applicant.
“Some checks require the user, for example, to blink his left eye or look left or right, look up or down. Deepfakes today are advanced enough to execute those commands,” Su said.
So far, he said, humans can still detect deception. But the AI will evolve to the point where it will be impossible for humans to tell a fake. Su acknowledged that this is a very serious problem and for now he sees the solution only in training users in risk management.
Our experts point out that Microsoft founder Bill Gates said in January. That the development of AI is the most important innovation in recent years. And one of the pioneers of neural networks and artificial intelligence technology, Jeffrey Hinton. Now he has also joined those who see such advances as a danger to humanity. He fears that the Internet will be flooded with fake photos. As well as videos and texts. Which will be created by AI, and the average person “will no longer be able to know what is true and what is not.”
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