They accuse the algorithm of perpetuating gender stereotypes, but it's really society that's doing that. The ads are just trying to be the most efficient and in doing so they mirror the preferences of society. I don't know why anybody ever assumed that professions would ideally be 50-50 by gender, but that does seem to be something that people come into these arguments assuming.
Put another way, what's the conversion rate shear between mechanic job listings between women and men?
>I don't know why anybody ever assumed that professions would ideally be 50-50 by gender
It’s not that. We know that in most professions there’s no reason to assume that they should have a preferred gender. This means that even if pool of candidates is 99:1, that 1 candidate must have equal opportunities for employment. And that means no pre-screening through targeted ads.
So say a school has funding to find 10 candidates for a job using the biased algorithms. Are you saying it’s best to force the school to use an algorithm such that they only find 5 with it still unlikely that any of those 5 are of a different sex. In effect forcing schools to hire a worse member of staff(due to reduced candidate pool.)
Put another way, what's the conversion rate shear between mechanic job listings between women and men?
Overall, agree with your take.