Machine learning algorithms are becoming more commonplace, but what are the risks they could err? Sounds like a job for IT audit
By Andrew T. Clark
November 3, 2016
Machine learning algorithms are permeating our world. With applications in banking, investing, social media, advertising, and crime prevention, to name a few, these 'little black boxes' are increasingly being used to inform and drive decisions about our lives and businesses.
Yet, how do we know that in high-stakes situations—such as prison sentencing, airport security, combat, or how self-driving cars might choose between two catastrophic outcomes—the algorithms really are intellectually sound and in our best interest?