Researchers in a recent study found that artificial intelligence (AI) can create Caucasian faces that appear more realistic than genuine human faces.

As per the research, published in Psychological Science and led by experts at the Australian National University (ANU), more people thought the AI-generated white faces were human than the faces of real people.

The study found, however, that the same did not apply to faces generated for people of color.

According to the senior author of the paper, Dr. Amy Dawel, the reason for the notable difference between generated Caucasian faces and people of color comes down to the fact that AI algorithms are trained disproportionately on white faces.

Dawel said: "If white AI faces are consistently perceived as more realistic, this technology could have profound implications for people of color by ultimately reinforcing racial biases online.

"This problem is already apparent in current AI technologies used to create professional-looking headshots.

"When used for people of color, the AI is altering their skin and eye color to those of white people."

Researchers found when it comes to AI "hyperrealism," most people did not realize they were being fooled.

Study co-author and ANU Ph.D. candidate Elizabeth Miller said researchers found that most of the study participants who were most confident that their answers were correct paradoxically thought that the AI faces were real.

"This means people who are mistaking AI imposters for real people don't know they are being tricked," she said.

The researchers were also able to discover why AI faces are fooling people.

Although there were still physical differences between the AI and human faces, study participants still managed to misinterpret them.

Dawel revealed more in-proportion faces were typical signs that AI had generated a face.

However, people mistook it as a sign of humanness.

She added: "We can't rely on these physical cues for long. AI technology is advancing so quickly that the differences between AI and human faces will probably disappear soon."

She expressed her belief that this could have profound implications regarding online misinformation and identity theft.

Dawel urged public transparency around AI so society can identify issues with the technology before they become more significant problems.

"Given that humans can no longer detect AI faces, society needs tools that can accurately identify AI imposters," she said.

"Educating people about the perceived realism of AI faces could help make the public appropriately skeptical about the images they're seeing online."