If you're translating from an ungendered language and have to choose, the only way you're going to get anything sensible is from context and common usage. Which is going to choose "she is a nurse" because an algorithm that can deduce that fathers are most likely male can also deduce that nurses are most likely female. But without that you get bad translations like "she is a father" and "he is a fine ship" and "John is her own person."
http://work.chron.com/gender-equality-issues-nursing-careers...
A bias would be if it incorrectly weighted "JOHN" and "nurse", and used the feminine for "John the nurse".
Assuming that lower-status professions are female and higher-status professions are male ("he is a doctor") when translating ungendered words is indeed a bias.
> the system will be right 93% of the time.
And "this person is a doctor, that person is a nurse" will be right 100% of the time.
It's also not wrong in the sense of generics: https://sites.ualberta.ca/~francisp/papers/GenericsIntro.pdf
The phrase "this person is a doctor" has a different meaning than "she is a doctor" - "she" and "he" refers to (I'm probably messing up the terminology here) contextually implicit person. "This person" does not.
Except when it produces "that person is a fine ship" or "John is that person's own person" or equally ridiculous things.