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Human Oversight Framework for AI Systems

As organizations scale their use of AI systems and autonomous agents, the question is no longer whether humans should remain involved—it’s how. Human oversight is essential for ensuring that AI remains safe, trustworthy, and aligned with business and ethical expectations. The Human-in-the-Loop (HITL), Human-on-the-Loop (HOTL), and Human-near-the-Loop (HNTL) models define different levels of human involvement, allowing teams to calibrate oversight based on task criticality, risk, and required precision. Understanding these distinctions is key to deploying AI systems responsibly and effectively.