> Sadly "equal pay" means whatever you want it to mean.
Exactly this. At a fundamental level every individual has an infinite number of "dimensions" (in ML parlance) associated with him, and "equal pay" people or groups will try and convince you that expected pay should be the same over a certain subset of dimensions while ignoring all the others. Invariably they will pick the most beneficial to that particular person or influence group. They will give you arguments from moral, while forgetting to mention that like in any midly complex problem, data bias and confounding variables are of paramount importance.
So "equal pay" means whatever you want it to mean because try and you may, you will never have a model with the full infinite set of dimensions that the real world has. Having to pick you pick the ones you want, a choice that others will attack.
Exactly this. At a fundamental level every individual has an infinite number of "dimensions" (in ML parlance) associated with him, and "equal pay" people or groups will try and convince you that expected pay should be the same over a certain subset of dimensions while ignoring all the others. Invariably they will pick the most beneficial to that particular person or influence group. They will give you arguments from moral, while forgetting to mention that like in any midly complex problem, data bias and confounding variables are of paramount importance.
So "equal pay" means whatever you want it to mean because try and you may, you will never have a model with the full infinite set of dimensions that the real world has. Having to pick you pick the ones you want, a choice that others will attack.