The Hermeneutic Turn of AI: Are Machines Capable of Interpreting?
arXiv:2411.12517v2h-index: 1
Originality Synthesis-oriented
AI Analysis
This work addresses the philosophical implications of AI advancements for researchers and theorists, but it is incremental in its analysis.
The paper explores how deep learning is transforming computing and human-machine interactions, drawing parallels with hermeneutic philosophy to challenge notions of human-like AI.
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.