This article was not written by AI. 

Yes, a human wrote this article, which, looking at the gushing commentary across social media and office corners on the capabilities of ChatGPT indicates a non-AI article is going to be rare in the near future. 

The truth, however, is that we have probably been assisted by AI longer than we realize. No sooner had I started typing in Google Docs than I was prompted to use this generated text to move my sentence along.

As you can see it was nothing fancy, but a nudge to help me write efficiently. 

While AI has assisted humans for a while, there now stand business use cases where humans and machines can benefit each other, share responsibilities, and create a powerful hybrid solution that is greater than the sum of its parts. 

This is the premise of human-in-the-loop machine learning. Simply put, human-in-the-loop machine learning (HITL ML) is a method that involves people providing input and oversight during the decision-making process of a machine learning model. This is the magic that makes automating complex processes seem like a breeze.