HITL

HITL is a collaborative AI approach integrating human expertise into automated systems for better accuracy and oversight.

Human-in-the-Loop (HITL) is a method in Artificial Intelligence and Machine Learning where human intelligence actively participates in the system's training, evaluation, or operation. This hybrid approach combines the speed and efficiency of machines with the nuance, judgment, and ethical reasoning of humans. HITL is crucial for enhancing model accuracy, reliability, and accountability, especially when dealing with ambiguous data or high-risk scenarios where pure automation might fail. Humans provide essential feedback, labeling data, tuning models, and validating outputs to ensure the AI system evolves correctly and safely.

https://en.wikipedia.org/wiki/Human-in-the-loop