📄 中文摘要
在人工智能的推广中，常常强调其处理数据的速度和消除偏见的能力。然而，速度和准确性并不是同一变量，它们可以独立变化。当一个AI系统在极快的速度下做出极其错误的决策时，可能会导致严重后果。这一核心矛盾在当前的讨论中被忽视，值得引起重视。AI的快速处理能力并不一定能保证决策的质量，反而可能在某些情况下加剧问题。因此，建立对人工智能的校准信任显得尤为重要。
速度与准确性的悖论：为何“更快的人工智能”并不总意味着“更好的决策”
📄 English Summary
The Speed-Accuracy Paradox: Why "Faster AI" Doesn't Always Mean "Better Decisions"
The promotion of artificial intelligence often highlights its speed in processing data and its ability to eliminate bias. However, speed and accuracy are not the same variable and can change independently. When an AI system operates at high speed but makes significantly wrong decisions, it can lead to severe consequences. This core contradiction is often overlooked in current discussions and deserves attention. The rapid processing capabilities of AI do not necessarily guarantee the quality of decisions, and in some cases, may exacerbate issues. Therefore, establishing calibrated trust in artificial intelligence is crucial.