Human Expert

Research on "human expert" focuses on understanding and leveraging human expertise in collaboration with artificial intelligence, particularly in complex decision-making tasks. Current studies explore how AI models, including large language models and neural networks, can complement or even surpass human experts in specific domains like medical diagnosis, code generation, and scientific prediction, often using techniques like meta-learning and human-in-the-loop approaches to refine AI performance and understand human decision strategies. This work is significant because it reveals the strengths and limitations of both human and AI approaches, paving the way for more effective human-AI teams and improved decision-making across various fields.