I am strongly against affirmative action and similar techniques since they are almost never applied universal based on anything measurable, but rather political

I am strongly against affirmative action and similar techniques since they are almost never applied universal based on anything measurable, but rather political. For example we had here in Sweden for a short time a program which gave bonus points for university student applications if the student would end being a minority in their class based on gender. The problem was that rather then seeing more women entering male dominated fields, it was more men who applied for seats in female dominated fields and thus ended up gaining the benefit of this program. It was then challenged by feminist groups as being discriminative which they won which then resulted in the program being scraped. A major issue is that on average the higher education here in Sweden in female dominated so any positive discrimination that is intended to countering inherent bias would primarily benefit men, unless those actions are applied explicitly to the minority of programs which is male dominated such as abstract math, IT, engineering and a few more. As such modern affirmative actions programs are much more selective in where it get applied. Same issue applies to using affirmative action to counter gender segregation in the work sector. Both men and women have the same employment rate here in Sweden, and about 90% of men and women work in a profession which is gender segregated. Neither gender is more likely or less likely to be a minority or majority, which means that affirmative action in the hiring process would apply equally to both men and women. The only way to break the symmetry is to only apply affirmative action in places which the intended group is the minority and thus get the benefit, such as two current political initiative to get more women into sport management and management boards. By limit to only gender segregation in those areas they can be sure that only women will benefit from the initiative and political this seems to be a major success. If we use data sets and machine learning to counter bias then it would likely work but it would also benefit both men and women. Political this is not acceptable. People claim that positive discrimination is to be used to countering inherent bias but the way it is actually used is all about political power and who can benefit from it.