The Next Big Disruptive Trend in Business. . . Explainable AI - Disruption

Currently, much of machine learning is opaque, a genuine black box. Machines may be given an extraordinarily complex task and come up with what appears to be a reasonable solution, but they are largely incapable of explaining how or why they came up with that solution. That's why some of the smartest AI researchers in the industry are now hot on the trail of finding new ways to make machines understandable for humans. Much of that focus is on an emerging field known as Explainable AI (XAI), which in very simple terms is the ability of machines to explain their rationale, characterize the strengths and weaknesses of their decision-making process, and, most importantly, convey a sense of how they will behave in the future. This field of XAI is going to be hugely important, with a number of important social, legal and ethical implications.