Human-in-the-Loop is an approach ensuring human oversight in AI decision-making processes. It involves human intervention at key stages to validate, supervise, or override AI outputs, enhancing safety, accountability, and ethical compliance. This practice helps prevent errors, biases, or harmful outcomes by integrating human judgment, especially in critical or sensitive applications such as healthcare, finance, and autonomous systems.