The great thing about computers is that they do exactly what you tell them to do. The terrible thing about computers is that they do EXACTLY what you tell them to do. With the notable exception of the first bug in a computer from 1947, most bugs are due to some sort of human error. But what about machine learning systems where the computer learns rules based on data and actions without being explicitly programmed? These systems still make mistakes – they always have and continue to this day – sometimes with tragic results. During this session Patrick Wagstrom, Director of Emerging Technologies at Verizon, will weave a thread of failure through the history of machine learning from 1959 until today, identify common themes amongst those failures, and share what you can do to help prevent the same mistakes of the past.