Human-in-the-Loop AI is an artificial intelligence approach that involves people in the development, training, monitoring, or decision-making process of an AI system. Instead of allowing AI to operate completely independently, human users review data, validate results, correct errors, or provide feedback. This information can then be used to improve the system’s accuracy, reliability, and performance over time.
Human-in-the-Loop AI is commonly used in healthcare, finance, autonomous systems, content moderation, customer service, and industrial applications. Its purpose is to combine the speed and analytical capabilities of AI with human judgment and expertise. Human involvement is especially valuable when decisions are complex, sensitive, or require contextual understanding. By providing oversight and feedback, this approach can reduce errors, improve accountability, and make AI systems safer and more trustworthy.
