停止询问模型是否可解释

The interpretability of models in artificial intelligence has been a significant topic of discussion. However, the focus should not solely be on whether a model is interpretable. Instead, it is crucial to clarify what questions the explanation should answer. Different application scenarios and requirements dictate the expectations for model explanations, and understanding these expectations can aid in better evaluating the model's effectiveness and reliability. By concentrating on specific questions, researchers and developers can design explanation methods more effectively, thereby enhancing model transparency and user trust.