2 ms·

Also: Algorithmic justice can only be considered justice if the training data are proven to be just.

• realradicalwash 8y ago
  imv, "just" good training data could definitely make things more just. that is, if you clean your training data properly and adjust for correlates of injustice, e.g. race. I could imagine two ways (I am sure there are more): 1) you only train it on data from one sub-population, e.g. whites / wealthy people / etc.. 2) you carefully correct wrong decisions and biases in your training data and don't even train on such factors as race. and then, in applying the model, you don't specify those correlates, either. this could be a small revolution.