to create a large database of fake videos for research, according to Reuters. The two companies announced earlier this year that they will be collaborating with top universities across the U.S. Large corporations such as Facebook and Microsoft have taken initiatives to detect and remove deepfake videos. With the technology becoming accessible to any computer user, more and more researchers are focusing on deepfake detection and looking for a way of regulating it. While AI can be used to make deepfakes, it can also be used to detect them, Brookings' Villasenor wrote in February.

He said GANs didn't create this problem, but they'll make it worse. In fact, 'AI tools are already being used to put pictures of other people's faces on the bodies of porn stars and put words in the mouths of politicians,' wrote Martin Giles, San Francisco bureau chief of MIT Technology Review in a report. The GANs process seeks to detect flaws in the forgery, leading to improvements addressing the flaws.'ДЄnd after multiple rounds of detection and improvement, the deepfake video is completed, said the professor.ДЄccording to a MIT technology report, a device that enables deepfakes can be 'a perfect weapon for purveyors of fake news who want to influence everything from stock prices to elections.' A deep-learning system can produce a persuasive counterfeit by studying photographs and videos of a target person from multiple angles, and then mimicking its behavior and speech patterns.Д«arrett explained that 'once a preliminary fake has been produced, a method known as GANs, or generative adversarial networks, makes it more believable.

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