In this study, 260 people looked at 20 pictures without knowing where they came from. Half of these pictures were of real people found on Google, and the other half were made by AI programs called Stable Diffusion and DALL-E. These programs are very good at creating images that look like real human faces. The people in the study had to guess which pictures were real and which were made by AI. Only 61% got it right, which was much less than the 85% the researchers thought would.
The study's lead researcher, Andreea Pocol, said that people are not very good at telling real and AI-made images apart. People tried to guess based on small details like how fingers, teeth, and eyes looked. But these clues were not as helpful as they thought. What makes it harder is that most people don't look closely at pictures on the internet. They scroll fast, so it's even easier to get tricked by fake images.
- Also read: Generative AI Continues To Promote Fake Information About US Elections, New Research Proves
This study shows a big issue with how we see pictures online and trust them. It's making people think again about how much we can believe what we see in the digital world.
Image: DIW-AIgen
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by Mahrukh Shahid via Digital Information World
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