Fake images and videos generated by artificial intelligence are no longer just a means of entertainment or spreading funny content; they have become a tool used by scammers to carry out fraud and steal money, at a time when distinguishing between real and fake content is becoming increasingly difficult.

With the rapid development of generative AI technologies, traditional signs that used to reveal fake images, such as extra fingers or obvious deformities, have become less effective, making content verification an increasing challenge.

Detecting fakes has become harder

The report indicates that AI models are constantly improving, making the images and videos they produce more realistic than ever.

Relying on quick observation is no longer sufficient, as it is easy to confuse real images with AI-generated ones, even for users who are accustomed to following this type of content, according to a report published by PCWorld and reviewed by Al Arabiya Business.

Why does this pose a risk?

The problem lies in the fact that scammers exploit fake images and videos to carry out fraud, such as:

- Impersonating family members or friends.

- Carrying out emergency scams and requesting money transfers.

- Spreading misleading information.

- Deceiving users with images or videos that appear completely real.

Therefore, the ability to detect fake content is no longer just a technical skill but has become a means to protect bank accounts and personal data.

Do not rely on fake detection tools

Despite the existence of dedicated tools for detecting AI-generated images and videos, experts emphasize that they are still not accurate enough to be fully relied upon.

The report compares using them to asking for an opinion from someone with limited knowledge of the subject; they may help in some cases but do not provide a final judgment.

How to detect fake images?

According to experts cited by the British Broadcasting Corporation (BBC), there are indicators to watch for, including:

- Overly symmetrical facial features.

- Unnatural-looking facial expressions.

- Illogical details in lighting or background.

- Elements that appear too perfect.

Studies indicate that just one hour of training on comparing real and fake images, along with recognizing key signs, can increase detection accuracy from 40% to about 80%.

However, researchers warn that these signs may become less effective in the future as AI models continue to evolve.

Awareness is the first line of defense

Experts believe that the best way to protect oneself currently is to handle any controversial image or video that carries sensitive information with caution, and not to automatically assume its authenticity.

Once you realize that the content might be fake, it reduces the chances of falling victim to scams or misinformation.

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Experts recommend placing smart devices on a separate network (Guest Network or VLAN) to reduce risks if one of them is compromised.

Beware of Scareware sites

The report also warns of Scareware sites that display fake messages claiming viruses or serious problems on the computer to force users to purchase unnecessary software or services.

Microsoft Edge browser includes a free tool to protect against this type of attack, and you can check if it is enabled via: Settings > Privacy, Search and Services > Security > Scareware Blocker.

If the feature is disabled, it is recommended to enable it to enhance protection while browsing the internet.

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