👉 Him computing, or Human-in-the-Loop (HITL) computing, is an approach that integrates human intelligence into the machine learning and artificial intelligence processes. This method involves humans actively participating in various stages of AI development, from data labeling and validation to model evaluation and refinement. By leveraging human expertise, Him computing helps improve the accuracy, reliability, and ethical considerations of AI systems. Humans can provide nuanced insights and context that algorithms alone might miss, ensuring that AI models are not only technically sound but also aligned with human values and societal norms. This collaborative approach enhances the overall quality and applicability of AI solutions across diverse domains such as healthcare, finance, and autonomous systems.
