Navigating Safety and Efficiency in Human-in-the-Loop AI

We explore the multifaceted role of HITL approaches, delving into four scenarios where this symbiotic relationship between humans and machines is proving to be a game-changer: refining machine learning accuracy, expediting AI’s learning curve, enhancing human precision, and optimizing human efficiency.

In my article, I argue that interactions could be reduced to a total of 4 key setups and 4 key pipeline configurations, the combination of which should be chosen based on the available resources, risks, and deployment complexity.