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Not sure if the video you're watching is the real thing or a deepfake? Take a good, long look at the eyes.
According to computer scientists at the University of Buffalo, light reflections in the eye are the key to deciphering whether the person you're watching in a given image is genuine or a clever deepfake.
There's a special tool that can automatically identify deepfake photos by analyzing light reflections in the subject's eyes. When used on portrait-like photos across a series of experiments, the tool achieved 94% efficacy when sussing out real photos from fakes.
Experiments using the tool were written up in a paper accepted at the IEEE International Conference on Acoustics, Speech, and Signal Processing, which takes place in June in Toronto. The paper, "Exposing GAN-Generated Faces Using Inconsistent Corneal Specular Highlights," refers to generative adversary network (GAN) images, including those created by AI.