Possibly that we aren't trained on different training sets. In particular, I think most machine learning training sets have way too many positives. For example, for every second you see a traffic sign, there likely are a hundred or more where we don't see one (especially in our youth)

Also, the claim that humans excel at this can be called anthropocentrism. You could also point at the features those machine learning algorithms use and say "why don't humans see these very prominent features?"