Astronomy Techniques Reveal New Method to Detect Deepfakes

Researchers use light reflection analysis in human eyes to identify AI-generated images.

Scientists adapted methods from galaxy studies to check light reflections in human eyes.
Inconsistent reflections between eyes indicate potential deepfakes.
The Gini coefficient, used in wealth inequality studies, helps quantify these reflections.
This technique, while not foolproof, offers a new tool in combating deepfakes.
Presented at the Royal Astronomical Society's National Astronomy Meeting, the study highlights ongoing efforts to counter digital misinformation.