👉 Help computing, or human-in-the-loop (HITL) computing, is a collaborative approach where humans and artificial intelligence (AI) systems work together to solve complex problems. In this model, AI algorithms process large volumes of data and generate potential solutions or insights, but human experts review, validate, and refine these outputs to ensure accuracy, relevance, and ethical considerations. This iterative process leverages the strengths of both humans—such as creativity, common sense, and contextual understanding—and AI’s speed and scalability. By integrating human feedback, help computing enhances the quality of AI outputs, reduces errors, and accelerates innovation, making it particularly valuable in domains like natural language processing, computer vision, and decision support systems.
