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Tuesday, December 1, 2020

Adobe adds content authenticity feature in Photoshop to fight deep fake photos

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After the Content Authenticity Initiative (CAI) was announced last year, Adobe has finally introduced a new feature to fight deepfakes and other deceptively manipulated content. There’s a new attribution tool in Adobe Creative Cloud. This feature will be available to select users in pre-release within Photoshop and Behance initially.
The tool is built using an early version of the open standard that will provide a secure layer of tamper-evident attribution data to photos, including the author’s name, location and edit history. This will help users better understand the content they view online and understand whether it’s fake or not.
This initiative is made in collaboration with The New York Times Company, Twitter, Microsoft, BBC, Qualcomm, Truepic, WITNESS, CBC and many others. “Collaborating with leaders across a variety of industries will help to create an industry-wide attribution framework, making it easier on consumers and creatives alike to use the tool,” said Adobe in a statement.
With a tamper-evident way, content creators can add their name to their creative work. Adobe believes, “The more creators distribute content with proper attribution, the more consumers will expect and use that information to make judgement calls, thus minimizing the influence of bad actors and deceptive content.”
Back in 2019, Adobe revealed that it is soon going to release a Photoshop Camera app to offer computation photography to all smartphones. The company previewed the Photoshop Camera app at the recently held MAX 2019 conference which brings the power of Photoshop directly into the camera app. That means you need not edit the photo after shooting, you can customise the photo and make it look original even while you are pointing the camera at a subject.
However, Adobe was concerned that “high-quality” photos with “Photoshop magic” might add to the problem of deep fakes in social media. It was then the company started working with researchers at UC Berkeley to create a tool for Adobe that will help recognise deep fakes and red flag manipulated images.

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