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by peterfirefly 1075 days ago
Noticing how the world is. That's dangerous and "biased".
2 comments

The problem here is conflating "the world" with "the training set". If your data isn't representative of the world, then, yes, that introduces bias.
i dont want a fair sample of the whole world.

i want a highly biased sample of attributes in the extreme tail end which will have all sorts of weirdness in it.

at least 2/3 of the population are unteachable for the management/engineering i want.

i don't want applicants that look anything like normal.

is that now illegal?

the comment you are replying to is saying that if the data is representative of the world, you will then be termed biased because the people doing the labelling think the world is biased.
"How the world is" includes "people named Jared are better employees", apparently.