Statisticians call the former type of errors “Type I errors” and the latter type of errors “Type II errors.” And these two types of errors often have asymmetric negative consequences.

This said, “Type-I Error” and “Type-II Error” are clearly arbitrary labels! These names do not give the reader an intuitive sense of what you’re talking about!