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GenericHam t1_j1rjshh wrote

I make AI for a living and it would be very easy to bias the data.

Let's for instance say that I use "address" as a raw feature to give to the model. This will definitely be an important feature because education and competence are associated with where you live.

However this correlation is an artifact of other things. The AI can not tell the difference between correlation and causation. So in the example, address correlates with competence but does not cause competence. Where maybe something like the ability to solve a math problem is actual evidence of competence.

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