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?
Recommended citation: Andrew Clark. (2016). “Focusing IT Audit on Machine Learning Algorithms” MISTI Internal Audit Insights, 2016.