👉 Wanting computing, also known as human-in-the-loop or human-computer interaction, is a paradigm where human intelligence and expertise are integrated into the computational process to enhance AI system performance. This approach leverages the unique capabilities of humans, such as creativity, intuition, and contextual understanding, to guide and improve machine learning models. By incorporating human feedback, validation, or correction into the training and decision-making processes, wanting computing aims to create more accurate, robust, and adaptable AI systems. This synergy between human and machine not only helps address the limitations of purely data-driven approaches but also ensures that AI solutions are more aligned with human values, needs, and expectations.
