Hrrm, I don't know how to feel about this article. 

On one hand, you have the ability to look under the hood. On the other hand you may not. You take any of the Windows applications we may use on a daily basis. It's not open source and we don't know what's going on. Why would AI or ML change the fact we don't know what's going on with the applications we use to make our business thrive? We just trust in the ability to work and make the magic happen regardless of how it was programmed.

Though, I do understand what most are coming from. Something is making a prediction, a recommendation, a decision and we sometimes are wary that outcome is skewed, made bias, or just flat out wrong because we can't see or maybe don't know how to interpret.

Regardless, I work within the data science wing within advertising. There are certainly plenty of AI and ML services out there where we cannot look under the hood. But then again, we do have the ability to create those same services now. Good data professionals are able to fully understand what their unsupervised learning techniques are doing because the code they are using is open source. Really good data professionals are able to actually use math to not only interpret what's going on for the end user who may be wary, but also prove it with science.

Though, there is a lot of data professionals just running things with code only without any thought or proper testing or real understanding of the math and algorithms used to make everything work behind the scenes. Just throwing things out there because it looks right. Unfortunately, the end user who doesn't know what's going on, may get the shaft in this case.