Trust Crisis in the Age of AI | Can We Still Trust Our Eyes?

In the age of artificial intelligence, the credibility of content cannot be determined by its natural appearance alone. Trust must be built on reliable sources, verifiable evidence and independent confirmation.

In the world of fake content, what makes a document authentic? You have to find a way to trust authentic evidence

In the era of artificial intelligence, the validity of a content cannot be concluded only from its natural appearance. Trust must be based on credible sources, verifiable evidence, and independent verification.

Ambassador Arjan-Yekta Farahani: Until a few years ago, an audio or video file could be a convincing proof for many people; Something that shows what someone said or what happened. But artificial intelligence has complicated this equation. Today it is possible to simulate people's voices, put faces in situations they have never experienced, and create narratives that at first glance seem real.

When forgery becomes a tool to deny the truth

Dr. Abazar Karimi Panabandani, an artificial intelligence expert and researcher, emphasizes the importance of distinguishing between credible content and authentic content in examining this issue. Deepfake is audio and video content that is created or manipulated with the help of artificial intelligence; Content that can convincingly recreate a person's voice, face, or behavior.

Of course, not all AI-generated content is necessarily deceptive. This technology is also used in dubbing, production of artworks and education. The problem becomes serious when artificial content is published without clarification and with the purpose of deception, reputation damage or financial abuse.

But a less noticeable consequence is the possibility of denying real evidence. Once people know that images and sounds can be faked, they may also consider any inconvenient evidence to be fake; Even if there is valid evidence of its authenticity; Therefore, the danger of deepfaking is not only that it replaces the truth with a lie; Rather, it can also make the recognition of the truth a controversial issue.

According to Karimi, one of the common errors in dealing with deepfakes is relying on a few external signs; For example, abnormal lip movement, unusual blinking, or audio/visual inconsistency. These signs may attract the attention of the audience, but their absence does not mean that the content is authentic. Artificial content generation tools are also constantly improving, and automatic detection tools can also make mistakes.

For this reason, checking the authenticity of the content should go beyond its appearance. The original source of publication, the full version of the file, the time and context of publication, and verification of independent sources can all contribute to a more accurate assessment. The result of artificial intelligence detection tools should not be considered as the final verdict alone.

Artificial intelligence expert warning about paying attention to the border between reality and images

Do not trust any voice Fraudsters are now impersonating the voices of your loved ones

This artificial intelligence expert says that in everyday life, one of the most important measures to deal with counterfeiting is to pause before reacting. Content that creates a lot of fear, anger, or excitement, especially if it's accompanied by an immediate request for money or a quick release, warrants further scrutiny.

If someone with a familiar voice makes an unusual financial request, it is better to contact them independently. In the face of controversial videos, we should also look for the original source and independent verifications. The number of views or publication of a content in several different channels alone does not prove its authenticity.

The media also has an important responsibility. The rapid release of unverified content can lead to the spread of misinformation and damage to people's reputations. Determining the source of the images, independent investigation and transparent correction of errors is part of the media's professional responsibility in such an environment.

Trust should not be confused with gullibility or pessimism

According to Karimi, dealing with deepfake does not mean distrusting all images and sounds. Just as accepting any credible content is dangerous, rejecting any evidence can help distort reality. The solution is to learn how to evaluate evidence and accept that sometimes we need more information to make an accurate judgment.