The paper focuses on human oversight mechanisms in Artificial Intelligence (AI) systems and their pipelines, with particular attention to Human-in-the-Loop (HITL) and Human-on-the-Loop (HOTL) approaches. It explores their main advantages and challenges over fully autonomous systems, from a technical, legal and ethical perspective. The study discusses how the adoption of human judgment and feedback can address critical gaps in accuracy, accountability, fairness, transparency, and trust, especiall