In a world filled with manipulated photos, deepfakes and even, Adobe says it’s working on an artificial intelligence tool to spot fake images. Citing “the ” of Photoshop, Adobe partnered with researchers from the University of California at Berkeley to work on the issue.
Photoshop’s Face Aware Liquify feature is being used to change people’s facial expressions, the company said.
“Fake content is a serious and increasingly pressing issue,” Adobe said in a blog post Friday, adding that it will use AI to increase trust in digital media.
Adobe and Berkeley researchers have now developed a way to detect and remove edits to images.
Their tool was able to spot altered faces 99% of the time, in comparison to the human eye, which found the alterations 53% of the time, Adobe said. It was also able to revert images to their original state.
The tool is still in its early stages, however.
“The idea of a magic universal ‘undo’ button to revert image edits is still far from reality,” Adobe researcher Richard Zhang said. “But we live in a world where it’s becoming harder to trust the digital information we consume, and I look forward to further exploring this area of research.”
Manipulated images and videos have been spreading across the internet, like Friday’s video that saw, and reports Thursday that a spy set up a to connect with political figures in Washington.
Deepfakes, video forgeries that make people appear to be doing or saying things they didn’t, are the moving-picture equivalent of bogus images created with programs like Photoshop. Deepfake software has made manipulated videos accessible and increasingly harder to detect as fake. One technique enables users to make a deepfake using a single image, such as the Mona Lisa.
following the appearance of and amid fears that deepfakes could escalate the fake news campaign during the 2020 US presidential race.
As with Adobe’s tool for spotting doctored images, researchers are also working onby creating pseudo-fingerprints of their unique manners of speaking. The new technique was outlined in an academic paper on Wednesday.