Money laundering is a crime in which one takes money or goods taken through criminal activities (e.g., theft) and sends it through some process, usually a cover, like a business or something, to make it appear legitimate. More generally, it refers to the process by which money or resources obtained through ethically questionable means is passed through layers of other activities so as to obscure its original source.
So the idea is, you have some bias in some process (racial, religious, whatever). You set up some algorithm that relies on the bias to make predictions or classifications. Now you can say it's not you that's biased, it's just the algorithm. The algorithm is some process by which your bias is "made legitimate".
> You set up some algorithm that relies on the bias to make predictions or classifications. Now you can say it's not you that's biased, it's just the algorithm.
It's not that you set up the algorithm to rely on the bias - ML trains on data produced by a biased system and ends up building a model containing the same biases - you don't need to "set-up" anything - if you're fine with the existing biases you can "launder" them through ML.
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https://en.wikipedia.org/wiki/Money_laundering
So the idea is, you have some bias in some process (racial, religious, whatever). You set up some algorithm that relies on the bias to make predictions or classifications. Now you can say it's not you that's biased, it's just the algorithm. The algorithm is some process by which your bias is "made legitimate".