I don’t know the reference you are referring to but ML causal researchers often use a different and confusing language than epidemiologists and statisticians, for example, individualIZED treatment effects or heterogeneous treatment effects are the CATE.

Sure, but fields making up a word that masquerades as something else is not better. Adding -ized does not remove confusion (it still implies it is individual-specific) ML is far from the only field to cause terminology confusion (epi has provided its own), but the ITE stuff annoys me

openreview.net/pdf?id=ByKWU...