Four things we need to realise about explainable AI

Explainable AI is the idea that an AI algorithm should be able to explain how it reached a conclusion in a way that humans can decipher. There's a well-known "black box problem" where an AI algorithm can determine something but is not able to give details about the factors that caused that result. Then, how can people feel that they can authoritatively trust what an AI algorithm says? Getting to the goal of explainable AI is an admirable and necessary feat, but it's not straightforward. Here are four things that the tech industry needs to realize before we get to the point of making explainable AI a reality. It's understandable why people assert that if AI can explain itself, members of the general public, as well as businesses who use AI to make decisions, will believe it's more trustworthy.