There Are Problems With the Gender-Bias IAT, Too -- Science of Us:
The first thing to know about implicit-sexism IATs is that they follow a pattern not really seen in other areas of IAT research. Generally speaking, for IATs dealing with some oppressed class of people, nonmembers of that group score higher, and are therefore seen as more implicitly biased against the group. White people generally score higher on a so-called black-white IAT than black peoples for example, for example, while ethnic Germans generally score higher than ethnic Turks on IATs involving traditionally German and traditionally Turkish names (Turks are a marginalized minority group in Germany).
Sexism IATs are different. As Greg Mitchell and Phil Tetlock put it in a book chapter that is very critical of the IAT, “One particularly puzzling aspect of academic and public dialogue about implicit prejudice research has been the dearth of attention paid to the finding that men usually do not exhibit implicit sexism while women do show pro-female implicit attitudes.” This appears to be a pretty robust finding, and if you translate it into the same language IAT proponents speak elsewhere, it means men don’t have implicit sexism and are therefore unlikely to make decisions in an implicitly sexist manner (women, meanwhile, will likely favor women over men in implicitly-driven decision-making). Even weirder, when you switch to IATs geared at evaluating not whether the test-taker implicitly favors men over women (or vice versa), but whether they are quicker to associate men versus women more with career, family, and similarly gendered concepts, the IAT somewhat reliably evaluates women as having higher rates of implicit bias against women than men do.