A technology firm is developing a large language model to act as a preliminary diagnostic assistant for doctors. The model analyzes patient-provided symptoms and suggests potential conditions. The firm proposes a hybrid training approach: an AI feedback system will score the model's suggestions for consistency with a vast medical database, while a panel of human doctors will review a small sample of the model's outputs for bedside manner, clarity of communication, and ethical considerations. Critically evaluate this proposed training strategy. What are its most significant strengths and what is its greatest potential weakness or risk?