That is a fundamentally flawed concept. The ML simply learns from what is. The concept of racism is in flux, what was ok yesterday is racist now, what was racist yesterday is ok now, and it will shift again tomorrow. I won't even start on the fact that different demographics across the globe have vastly differing and often polar opposite views about racism.
The ability to accurately model the what is is not a weakness of ML, it is the strength. Do not blame ML for learning to accurately depict the real world, no matter how uncomfortable it makes you.
That is a fundamentally flawed concept. The ML simply learns from what is. The concept of racism is in flux, what was ok yesterday is racist now, what was racist yesterday is ok now, and it will shift again tomorrow. I won't even start on the fact that different demographics across the globe have vastly differing and often polar opposite views about racism.
The ability to accurately model the what is is not a weakness of ML, it is the strength. Do not blame ML for learning to accurately depict the real world, no matter how uncomfortable it makes you.