The way I see it, the attached picture is wrong because the type I error would be: P(A | B) in a long-run repeat that assumes B
Whereas false positive would be: P(B | A)
Whereby:
A: saying “you are pregnant”
B: the person is not pregnant
For individual decision making we are usually more interested in the false positive (which in a way is the inverse probability of what the type I error is).