Depending on the input “homemaker” may be a technically reasonable output.
Should we use such a model to suggest career paths to high school students? Or should we reevaluate the methodology?
https://www.slideshare.net/yuyomajadero/jobs-occupations-pro...
I'd like to add that there's also a danger in people trying too hard to avoid bias and losing important information. For example, a man who's a homemaker instead of a programmer is a less attractive partner for a woman. So such an occupation might harm both his quality of life and that of his partner. There is some useful information encoded in cultural bias. Even if that information turns out to be entirely socially constructed, it still has real harmful effects on real humans who go against it.
I know some people who, fairly strongly, believe that ML is the future of non-biased decision making, yes.
> a man who's a homemaker instead of a programmer is a less attractive partner for a woman
That's definitely going to be [CITATION NEEDED].
This is much to sweeping a generalization to have a place here. You might say a man who is a homemaker is less attractive than a programmer to you, but don't speak for everybody else.