Deepfake Vs. Real Videos: 5 Tips To Distinguish AI-Generated Content

Artificial Intelligence (AI) makes tweaking photos and videos easy, producing fake content. However, there are ways to distinguish whether you look at deepfake or real content.

Deepfake Vs. Real Content

There has been a demand for advanced deepfake detection techniques following the recent appearance of AI-generated fake videos featuring certain politicians and celebrities. Thankfully, there are methods for differentiating between genuine and deepfake films until such safeguards are generally accessible.

Here are some tips to detect AI-generated content from a real one without using a tool.

Length of the Video

This is most likely the most straightforward method for distinguishing a genuine video from a deepfake. An AI system must be trained for extended periods to develop a deepfake. As a result, most deepfake videos are typically brief and sourced from press clips or social media videos.

Inaccurate Audio

Artificial intelligence (AI) programs can create music and lyrics in your direction, but they often struggle with authenticity and other important aspects like pitch and accent. To conceal these errors, most deepfake videos don't have audio. When watching a video, keep an eye out for these kinds of discrepancies.

Weird Eye Movements

Eye movement is another useful technique to distinguish between a genuine video and a deepfake. AI algorithms find it difficult to simulate natural eye movements accurately.

So, look for unusual blinking or unnecessary eye movements. The eye motions appear to be somewhat robotic in several instances. Due to this, deepfake videos frequently feature motionless subjects.

Obvious anomalies

Again, although AI can almost do anything, it doesn't excel in everything it does, particularly regarding minute details. Deepfake AI frequently overlooks all the additional information present in the scene.

The algorithms frequently struggle with lighting, shadows, and other features to clone accurate faces. You are most likely looking at a deepfake if you see an unusual glow surrounding the face or can't detect any shadows being cast by the main light source.

Additionally, deepfake video subjects frequently have faces with skin tones different from the rest of their bodies. Thus, try to spot any variations in the skin tone of the neck, hands, legs, or any other visible area of the body.

Doing this is among the most precise ways to differentiate a genuine video from a deepfake,

Google Image

In case all of the methods mentioned above are ineffective, you always have the option to go to Google Images. Just get a screen grab from the movie and add it to Google's "search by image" feature.

There's a considerable probability that Google's search algorithm will perform admirably and locate the original video's source or showcase comparable phony videos from other sites.

James Cameron Warned About Artificial Intelligence (AI)

Artificial Intelligence (AI) has been used in producing films. However, award-winning director James Cameron admitted he was "a little more scared than excited" when asked about AI technology.

He warned that "we can't trust what we see" because of things like deepfakes. Deepfake AI creates convincing audio, video, and image frauds. The term blends the terms fake and deep learning, referring to both the technology and the false data that comes from it.

Cameron claims that because of technology, it is getting tougher to trust our sources since their "looks are compelling." As a result, unless the source is physically there, it may become increasingly impossible to determine if the sources are authentic in the future.

Check out more news and information on Technology in Science Times.