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Reading: Can You Spot an AI Deepfake? New Test Reveals How People Detect Fake Faces
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Baner Club > Blog > Information Technology > Can You Spot an AI Deepfake? New Test Reveals How People Detect Fake Faces
Information TechnologyTechnology

Can You Spot an AI Deepfake? New Test Reveals How People Detect Fake Faces

Last updated: 2026/07/14 at 8:49 PM
Published July 14, 2026
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3 Min Read
Deepfake
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Artificial intelligence is creating human faces that look more realistic than ever. Many people now find it difficult to decide whether a picture shows a real person or an AI generated fake.

Contents
Researchers Test Human Ability to Find AI Generated FacesOld Deepfake Detection Methods Are No Longer EnoughSmall Facial Details Help Identify Fake ImagesFacial SymmetryFace ProportionsLearning to Spot Deepfakes May Become More Important

A new research study explores whether people can improve their ability to identify AI deepfake images. Scientists found that people can learn to notice small details that separate real faces from computer created ones.

Researchers Test Human Ability to Find AI Generated Faces

Psychologist Dr Clare Sutherland from the University of Aberdeen and her research team studied how people recognize fake images.

The team worked with researchers from Australia, Canada, and the UK. They created thousands of AI generated faces using StyleGAN3, a tool known for producing realistic human images.

Researchers tested participants before and after training. The results showed that people improved their ability to identify deepfake faces after learning specific visual clues.

Old Deepfake Detection Methods Are No Longer Enough

In the past, people could often spot AI images because they contained obvious mistakes. Common signs included extra fingers, unusual facial features, or strange details in clothing and accessories.

However, modern AI systems have improved quickly. They now create images with fewer visible errors. Fraudsters also avoid using images that contain clear mistakes.

Prof Amy Dawel, director of the Australian National University Emotions and Faces Lab, explained that simple checks are becoming less useful because AI technology continues to improve.

Small Facial Details Help Identify Fake Images

Researchers trained participants to focus on six important visual features. These details help people understand whether a face looks natural or artificially created.

Facial Symmetry

AI often struggles to copy the small differences found in real human faces. Natural faces usually have slight uneven features, such as a different shaped smile or a slightly lower eyelid.

A face that looks perfectly balanced may sometimes indicate an AI generated image.

Face Proportions

The size and relationship between facial features also provide clues. AI images may create unusual proportions, such as extremely large noses or unnatural ear shapes.

People can improve their detection skills by paying attention to these small differences.

Learning to Spot Deepfakes May Become More Important

As AI technology develops, fake images may become harder to recognize. Experts believe that teaching people how to identify deepfakes can help reduce online scams and misinformation.

The research shows that humans can improve their ability to detect AI generated faces. Instead of searching only for obvious mistakes, people need to understand the small details that make real human faces unique.

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TAGGED: ArtificialIntelligence, Deepfake

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zunaira July 14, 2026 July 14, 2026
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