AI-generated images (AIGIs) can be created by prompts with unlimited creativity. However, like deep-fake videos, generated contents 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 be easily created, both intentionally and accidentally. We also analyze both types of disgusting images by measuring the DisgustRate, which is defined as the percentage of disgusting images over the total of generated images. Our findings show that the DisgustRate of intentionally disgusting images is higher than accidentally disgusting images. In addition, we built a dataset of disgusting images and investigated the potentials of AI models to detect this kind of AI-generated images. We found that CLIP performs exceptionally well in disgusting image classification, achieving a test accuracy of up to 86%.
