Earlier quoted context omitted.
If these sources of data are actually more accurate predictors of creditworthiness, then shouln't we be applauding their use? If it so happens that tall people are less likely to repay loans, why is it wrong to charge tall people higher interest? Otherwise aren't we just socializing the cost imposed by artificially fuzzy criteria?
When I have this conversation with myself, here's what I come up with: Shouldn't we be allowed to everything into account when determining credit worthiness? Even if it's socially uncomfortable? We get locally more accurate pricing / risk assessment that way, but we also create feedback loops that we as a society have decided we want to not contribute to. The cost for this is the pricing inaccuracy which we collectiv…
But you do not socialize the cost, you just move it on someone else.
For example, we have two people A, B, with risk-assessing algorithm risk1 gives risk1(A) = 3.3, risk1(B) = 2.9. Risk limit for creditors is 3, so person A would not get credit.
But risk1() uses same forbidden information, so we use instead less informed risk2() that got risk2(A) = 2.9, while risk2(B) = 3.1, so now person A would get credit, but person B would not.