LinkedIn Announces AI Image Detection Research With 99% Success Rate For Catching Fake Profile Pictures

Tech giant LinkedIn has recently conducted research on AI image detection, in partnership with the University of California, Berkeley.

The entire concept is linked to having 99% success rates in terms of detecting fake profile images and only a 1% false positive figure for ratings. And as per evidence launched online by researchers, this unique endeavor actually works.

As per one top engineer that’s working at the firm, a lot of information surfaced online that had the app’s new photodetection tools producing fewer false positives and much greater figures for true positivity ratios.

Now the question that a lot of people end up talking about is why individuals make such profiles on the platform in the first place.

For starters, some people feel that it might help the community in terms of affiliate search, and therefore, such profiles would make Google appear like it’s the most trustworthy site of them all.

This is only if the authors of articles possess links to the profile on the app as seen in the biodata for authors. Moreover, such an idea pops up when the tech giant encourages such content through a means known as EEAT.

On the other hand, some people want to produce websites that are more trustworthy so others could benefit. And then there is a small chunk having to do with motivation to produce a page that’s super reliable and where visitors can feel at ease. But is this ethical? Absolutely not!

Today, the world of AI technology is trying hard to produce profile pictures that are the best and along the way, it can get carried away to produce fake profiles and keep on increasing. And that’s a huge problem for obvious reasons.

Recently published reports regarding fake profiles on LinkedIn spoke about how 2022 was the year when the app could detect and get rid of more than 21 million fake accounts during the start of 2022.

There’s also plenty of evidence shared by the likes of affiliate marketers who spoke about adding fake profiles on the app that could now be avoided by the simple task of using such tools for AI image detection from LinkedIn. And that would dramatically cause fake accounts to fall.

The app says people are working hard in terms of improving and enhancing the effectiveness of protection against all sorts of abuse and malaligned behavior. They’re now making partnerships with academic sites to be one step above all others

Read next: OpenAI CEO Confesses There’s A Lot That Could Go Wrong With New AI Technology
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