Adobe unveils new AI that can detect if an image has been 'deepfaked'

The antidote to deepfakes? Adobe unveils new AI that can detect manipulated faces Researchers developed an AI tool that can detect subtle alterations in a photo Not only that, but it can also 'revert' the manipulated image back to normal  They believe it could be used to detect 'deepfake' videos, which use deep learning to digitally splice fake audio onto the mouth of someone talking

By Annie Palmer For Dailymail.com

Published: 23:10 BST, 14 June 2019 | Updated: 23:10 BST, 14 June 2019

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Adobe researchers have developed an AI tool that could make spotting 'deepfakes' a whole lot easier. 

The tool is able to detect edits to images, such as those that would potentially go unnoticed to the naked eye, especially in doctored deepfake videos. 

It comes as deepfake videos, which use deep learning to digitally splice fake audio onto the mouth of someone talking, continue to be on the rise.  

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Adobe researchers have developed an AI tool that could make it easier to spot 'deepfakes'. The tool is able to detect edits to images, particularly those in doctored deepfake videos

Adobe researchers have developed an AI tool that could make it easier to spot 'deepfakes'. The tool is able to detect edits to images, particularly those in doctored deepfake videos

WHAT IS A DEEPFAKE VIDEO? 

Deepfakes are so named because they utilise deep learning, a form of artificial intelligence, to create fake videos. 

They are made by feeding a computer an algorithm, or set of instructions, as well as lots of images and audio of the target person. 

The computer program then learns how to mimic the person's facial expressions, mannerisms, voice and inflections. 

If you have enough video and audio of someone, you can combine a fake video of the person with a fake audio and get them to say anything you want.

'While we are proud of the impact that Photoshop and Adobe's other creative tools have made on the world, we also recognize the ethical implications of our technology,' Adobe wrote in a blog post. 

'Trust in what we see is increasingly important in

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