[yummyfajitas]

Another example from the article shows that men are more likely than women to click on an ad for a high income job, or that low income people are going to click on ads for high interest loans. These are stereotypes that seem to be confirmed by the algorithm.

The core question - do you believe the problem will be fixed by better machine learning algorithms? Going back to the current example, do you believe that a Bayes-optimal machine learning algorithm for predicting criminal behavior will be "unbiased" (in the sense of social justice, not in the sense of statistics)?

Or, more concretely, do you believe that the only problem that mtgx and smtddr are complaining about is that our ML algorithms aren't good enough and that maybe we need deep learning instead of random forests?