'Human in the Loop’ Learning (HITL), describes a setup whereby a learning machine or computer system can incorporate selected human inputs or labels into its inferences or learning process, and ...

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 ...

In his illuminating book Co-Intelligence, Ethan Mollick describes the potential for human-AI collaboration. He suggests that it will be critical for humans to remain “in the loop” when engaging with ...