My biggest fear regarding this whole machine-learning gig is that, as well as the useful patterns, data-points representing many of our Human biases, prejudices and stupidity are sitting in a lot of the data we're using to train the models, particularly the ones to do with behaviour. I wonder if we know enough about ourselves (and are honest enough) to recognise and filter out the cruft?
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