Reportedly, more than 1,000 deep fake profiles were spotted doing sales and marketing. Scammers and hackers use AI-generated profiles that look quite realistic but are from deep-fake companies. Deep fake profiles generate human faces. According to reports, humans are more trusting when compared to real people. AI Deep Fake is not a bad thing. It makes things easier and more interactive when used for a good reason, like in education, multimedia, and more things, to make things effortless.
NPR conducted an investigation, and Stanford Internet Observatory research performed a study, and they found more than 1,000 deep fake profiles on LinkedIn that belong to more than 70 companies. These deep fake profiles are used as a marketing tool and to increase their sales workforce. After NPR reported, LinkedIn removed more than 15 million deep-fake LinkedIn profiles.
How to Identify a Deep Fake LinkedIn Profile
It is quite easy to identify a deep fake profile. For this, all you can do is check by right-clicking on the image and then clicking on “Search the web for images.” Norton suggested that using this to perform a search could potentially help to identify similar images and identify them despite their increasing sophistication.
You may end up finding the person, but with different companies, as well as a name change, education, field, or work experience. Look closely at the image, and you might find some unnatural elements in the picture, such as the lack of emotion, fake emotion, or unnatural colour.
Especially hair, because it is the most difficult thing for a computer to replicate. Some of the things to look at, like eyes, hair, or backgrounds, and for them to blur out to identify AI-generated images. Companies use these tactics to increase engagement and monitor messages and chats, but this conversation will occasionally fail to respond to off-script questions. Due to the increase in deep fakes, AI experts suggest regulating them. In this case, blockchain verification triumphs over AI-generated fake profiles.