Disgusting AI-Generated Images: Causes and Detection

AI-generated images (AIGIs) can be created by prompts with unlimited creativity. However, like deep-fake videos, generated content could result in social problems. In this paper, we focus on disgusting AIGIs, which could be very emotionally negative to viewers. We show that disgusting images can easily be created, both intentionally and accidentally. We also analyze both types of disgusting images by measuring their DisgustRate, which is defined as the percentage of disgusting images over the total number of generated images. Our findings show that the DisgustRate for intentionally disgusting images is higher than for accidentally disgusting images. In addition, we built a dataset of disgusting images and investigated the potentials of AI models to detect these kinds of AI-generated images. We found that CLIP performs exceptionally well in disgusting image classification, achieving an average validation accuracy of up to $86.76 \%$.