We're always bad at knowing what to do with unknown data, because, by definition, when you don't know about it you don't know what to do with it. Quite often i

We're always bad at knowing what to do with unknown data, because, by definition, when you don't know about it you don't know what to do with it. Quite often it's just assumed to be error. Those errors have traditionally led to great discoveries though, (such as the Mercury wobble https://en.wikipedia.org/wiki/Tests_of_general_relativity#Perihelion_precession_of_Mercury https://en.wikipedia.org/wiki/Tests_of_general_relativity#Pe...) so if they are repeatable, then such "ghosts in the data" could turn up great fundamental truths. Every bit of this is speculation though. I am not so sure that anything so profound is going to turn up in AI datasets.