Even if you think you are good at analyzing faces, research shows many people cannot reliably distinguish between photos of real faces and images that have been computer-generated.
These deep fakes are becoming widespread in everyday culture which means people should be more aware of how they're being used in marketing, advertising and social media. The images are also being used for malicious purposes, such as political propaganda, espionage and information warfare.Making them involves something called a deep neural network, a computer system that mimics the way the brain learns. This is"trained" by exposing it to increasingly large data sets of real faces.
My colleagues and I found that people perceived GAN faces to be even more real-looking than genuine photos of actual people's faces. While it's not yet clear why this is, this finding doesAnd we also found an interesting link to attractiveness: faces that were rated as less attractive were also rated as more real.the typical face may be used as a reference
But seeing these artificial faces as authentic may also have consequences for the general levels of trust we extend to a circle of unfamiliar peoplefirst impressions we form guide our social interactions It is not surprising that people put more trust in faces they believe to be real. But we found that trust was eroded once people were informed about the potential presence of artificial faces in online interactions. They then showed lower levels of trust, overallThis outcome could be regarded as useful in some ways, because it made people more suspicious in an environment where fake users may operate.
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