objective function for the algorithm designer and a model of their information sets and interaction. We build such a model that … allows the training data to exhibit a wide range of "biases." Prevailing wisdom is that biased data change how the algorithm … is trained and whether an algorithm should be used at all. In contrast, we find two striking irrelevance results. First …

algorithm herself, her equity preference has no effect on the training procedure. So long as the data, however biased, contain … signal, they will be used and the learning algorithm will be the same. Equity preferences alone provide no reason to alter …