Methods of understanding artificial intelligence fraud!

Artificial intelligence fraud cases have developed rapidly in recent years. In particular, the video and visuals called Deepfake have become too convincing to be distinguished from the fact. This is facing users with serious dangers. These fake content, which contain many risks from social media fraud to identity theft, can be detected by simple but effective methods.

Ways of understanding artificial intelligence fraud

Visual and video search method can be used as the most basic step. With Google Lens, it can be easily learned what other sources a image is located on the Internet. If the same visual is located on different sites, different sites or on stock content platforms, the image is not real.

Similarly, vehicles like Deepware can also be used to determine whether videos are artificial. The suspicious visuals in social media profiles can also be examined through Google visual search by copying the visual address.

Live interaction test against frauds in increasing video searches stands out. During the video search, asking the other side to turn his head quickly allows to understand fake images.

An unreal image makes this movement in a robotic way away from naturalness. Likewise, in the face of questions that require improvisation response, artificial intelligence is quite confused, which is easily noticed.

The inconsistencies in facial expressions are also an important indicator in revealing deep fraud. While people naturally reflect their emotions on their faces, artificial intelligence systems are still inadequate to mimic these expressions. When talking, the mouth movements are incompatible with the lips or the inadequacy of expressions can show that the content is fake.

Physical details in artificial images also undermine credibility. In particular, the hands of hands away from naturalness and strange hand movements can be an example. We can say that the interaction of one’s environment is another point that should be examined. In real images, body movements are compatible with the environment, while fake content is almost disconnected from the background.

Robotic intonation in the sounds or the deteriorations that occasionally heard from time to time also discuss that the content is artificial. In a real speech, such interruptions or artificial timbre is not seen, while fake content loses its naturalness. These sound deteriorations are not only in artificial intelligence -based systems, but also because the people who prepare them do not make enough fine adjustment.

Failure in interactions with objects is another element that reveals false content. Hats, glasses, such as the way of sitting on the face, contact with the table or food established with food is discussed in detail in the tests of authenticity.

Nowadays, the number and credibility of Deepfake content is increasing. However, a careful and conscious user can detect these fake contents with several basic controls. So what do you think about this? You can share your opinions with us in the comments section below.