In their experiments, the researchers presented white adults with a mix of 100 AI-generated and 100 real white faces, asking them to identify which were real and their confidence in their decision.

Disparity in AI-generated Images. Dr. Amy Dawel, the paper's senior author, highlighted that the root cause of this disparity lies in the disproportionate training of AI algorithms on white faces.

Face Case. This "hyperreality" effect, as the researchers dubbed it, seems to occur overwhelmingly when viewing white AI-generated faces, with a whopping 66 percent of the AI-generated images ...

AI-generated white faces are more convincing than photographs of real humans, a study has found. However, the results were not the same for AI images of people of color. This may be because most ...

A variety of realistic-looking images generated with AI have gone viral. Experts say these sorts of images will become more common and harder to spot.

So she and her colleagues tested four AI image generators—Adobe Firefly, DALL-E 2, Craiyon, and DreamStudio—providing each with carefully engineered prompts pertaining to chemistry-specific ...

They realized AI did fine at providing on-point images if asked to show either Black African doctors or white suffering children. It was the combination of those two requests that was problematic ...

As technology evolves, AI-generated images of human faces are becoming increasingly indistinguishable from real photos. But our ability to separate the real from the artificial may come down to ...