These tests have been administered to large numbers of people and on average, almost every single person that has taken the test has scored some level of implicit bias. As a result, it's very likely (but not certain) that you ARE unaware of your implicit bias.
Of course, if you take the tests and score perfectly, you'll now be able to demonstrate empirically that you have no measurable implicit bias and will have an answer to those people who insist you do.
The reason why this is different to the walking on water statement, is that there are hundreds of thousands of data points all showing implicit bias is almost universal, whereas there are zero data points showing people can walk on water after believing in Jesus.
> There's been some evidence that the IAT is pretty robust. Most trivial matters like position of items don't much much of a difference. People who were asked to convincingly fake an IAT effect couldn't do it.
The bad news:
> A common critique of the test is that the same individual often gets two completely different scores taking the same test twice. As far as re-test reliability goes, .6 correlation is pretty good from a theoretical point of view, but more than enough to be frequently embarrassing. It must be admitted: this test, while giving consistent results for populations, is of less use for individuals wondering how much bias they personally have.
The OP seemed to be talking about implicit bias in the framework of critical race theory, hence the quote "According to media and social media, if I deny that I'm a racist, then I'm just not aware of my implicit bias". That is, denying that you're racist is the proof that you're a racist. It's not about self-awareness, but about assertion.
Otherwise, I don't think the implicit bias is what OP said. Our HR would remind us recency bias, for instance, during a perf review. That kind of implicit bias does exist and is worth reminding.
I've always wondered, have there been variations on these tests that control for camera exposure levels and lighting conditions, or try to separate color from luminosity from morphology? In reaction-delay-based tests, is the delay because of bias or because of something else about what's being presented (e.g. strange wording or visual layout) requiring additional mental processing?
Teasing out those differences could help e.g. layout information and design cameras and image pipelines to reduce the effects of bias.
These tests have been administered to large numbers of people and on average, almost every single person that has taken the test has scored some level of implicit bias. As a result, it's very likely (but not certain) that you ARE unaware of your implicit bias.
Of course, if you take the tests and score perfectly, you'll now be able to demonstrate empirically that you have no measurable implicit bias and will have an answer to those people who insist you do.
The reason why this is different to the walking on water statement, is that there are hundreds of thousands of data points all showing implicit bias is almost universal, whereas there are zero data points showing people can walk on water after believing in Jesus.