Human in the Loop is an approach in artificial intelligence that keeps people involved in key stages of model development and decision-making. Instead of relying fully on algorithms, humans guide data labeling, validate predictions, and review outcomes. This improves accuracy, reduces bias, and builds trust. It’s applied in healthcare, customer support, autonomous systems, and content moderation. By blending human expertise with machine efficiency, organizations create AI systems that are more ethical, adaptable, and context-aware. Human involvement ensures technology serves real-world needs responsibly while maintaining accountability, making it a vital practice for effective AI deployment across industries.
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