A "human in the loop" whose sole function is to approve a machine's actions is not a safeguard but a design failure, argues ...

Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...