on one hand it increases the percentage of invalid/unusable images. A mis-labeled image is still potentially useful, an image of a toucan in the Arctic isn’t. This means that even large datasets become largely unusable because of the volume of fake images.
on the other hand any AI picture that slips through, taints the dataset and results in expensive manual cleanup to ensure data is reliable.
I’d argue that AI does change things: