Hybrid Intelligence

Hybrid intelligence (HI) integrates human cognitive abilities with artificial intelligence to enhance decision-making and problem-solving across diverse domains. Current research emphasizes developing hybrid systems that combine neural networks (e.g., deep reinforcement learning, large language models) with symbolic reasoning, rule-based systems, or knowledge graphs, often employing human-in-the-loop approaches for training and validation. This interdisciplinary field is significant for improving the efficiency, explainability, and trustworthiness of AI systems, with applications ranging from autonomous robotics and healthcare to education and traffic monitoring.