Human-in-the-Loop (HITL) is an AI approach in which people review, validate, or intervene in AI decisions during training or production. Human oversight improves quality, accuracy, and accountability.
Voice AI systems use HITL for conversation review, quality assurance, model evaluation, annotation, and compliance. Human feedback helps improve speech recognition, language models, and customer service performance over time.