Adobe Tests New Content Authenticity App To Combat Risk Of AI Deepfakes, Misinformation, and Content Theft

Tech giant Adobe is working on a new means to limit AI content theft and the spread of misinformation.

The company is testing a new content authenticity app which is currently said to be in beta. From what we can confirm so far, the aim is to restrict the alarming levels of content theft and spread of deepfakes that arise with AI

For months, artists have been complaining about the use of their data online without any form of consent or compensation. As a company known to power some of the world’s biggest digital artists, it makes sense why Adobe is taking major steps to ensure content credentials are provided. This includes certification that the work published is indeed the creator’s own.

Content credentials by Adobe will make use of fingerprinting tech and invisible watermarks. Furthermore, it will cryptographically sign metadata to ensure all works are secure including pictures, audio, and video files.

Pixels will be changed through invisible watermarks but the effect is minute so it evades detection. Meanwhile, digital fingerprints will work similarly, encoding IDs on files to ensure all credentials get removed. The file will continue to be hailed as belonging to the creator.

The senior director for this new feature at Adobe mentioned how all content published anywhere will carry that content credentials. Whether it’s on your smartphone or on the web, you’ll always find the credential linked to it like glue.

Clearly, the feature is a challenge to launch and adopt but only a company as big as Adobe could have managed. Today, the firm has more than 33 Million subscribers who pay for software. Similarly, another great thing about the feature is that you don’t even need to be an Adobe user.

Adobe hopes to launch the feature as an extension of the Chrome Browser. Users can explore and display content credentials anywhere online when they are linked to the web’s content. This will show the content’s maker and give them credit as due.

The interesting part and challenge will be using AI to determine if something is really made through AI tech or not. Remember, it’s getting harder to tell them apart these days. But if more tools like these are widespread, finding the picture’s origin will be much simpler than before.


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