Ok, but what if you're a non-emotional system, whose biases are generated from objective statistical data? Then you become aware of those biases, and "adjust our opinions and behavior". You are just introducing inefficiency, and it speaks to the OPs point of:
> The problem with erasing biases is that you cannot look at any statistics.
If you can't use the statistics to generate biases then what is the purpose of building an inefficient processor. Not only is it inefficient because of ignoring the statistical data, it's inefficiency is compounded by the fact that you have to go out of your way to add extra layers in order to mitigate the observable statistical inference.
> Ok, but what if you're a non-emotional system, whose biases are generated from objective statistical data?
Objective statistical data doesn’t exist, that’s Data Science / Statistics 101. Your sample always has a bias, unless your sample is: everything, always, how it’s been, and how it always will be.
I don’t really know what inefficiency has to do with anything, wish I could respond to the rest of your comment.
If you can't use the statistics to generate biases then what is the purpose of building an inefficient processor. Not only is it inefficient because of ignoring the statistical data, it's inefficiency is compounded by the fact that you have to go out of your way to add extra layers in order to mitigate the observable statistical inference.