用诠释学解读深度学习，揭示机器理解的边界与可能。

The Hermeneutic Turn of AI: Are Machines Capable of Interpreting?

• 以诠释学视角重构深度学习的交互机制
• 指出机器理解非人类类比，而是符号意义建构
• 适合哲学、AI伦理与人机交互研究者

本文旨在展示深度学习（人工神经网络）不仅在技术层面颠覆了计算范式，也重塑了人机互动方式。通过借鉴诠释学传统（Don Ihde, Wilhelm Dilthey），文章揭示了这一转变与诠释学运动之间的深层关联，旨在消解对类人人工智能的神秘化认知，强调机器理解并非模仿人类心智，而是一种基于符号解释的意义生成过程。

原文摘要 · Abstract (English)

This article aims to demonstrate how the approach to computing is being disrupted by deep learning (artificial neural networks), not only in terms of techniques but also in our interactions with machines. It also addresses the philosophical tradition of hermeneutics (Don Ihde, Wilhelm Dilthey) to highlight a parallel with this movement and to demystify the idea of human-like AI.

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