Three ways to avoid bias in machine learning

At this moment in history it's impossible not to see the problems that arise from human bias. Now magnify that by compute and you start to get a sense for just how dangerous human bias via machine learning can be. But there is potentially a silver machine-learned lining. Because AI can help expose truth inside messy data sets, it's possible for algorithms to help us better understand bias we haven't already isolated, and spot ethically questionable ripples in human data so we can check ourselves. Exposing human data to algorithms exposes bias, and if we are considering the outputs rationally, we can use machine learning's aptitude for spotting anomalies.