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

TL;DR

This paper explores how deep learning is transforming computing and human-machine interactions, drawing parallels with hermeneutic philosophy to question the notion of human-like AI capabilities.

Contribution

It connects deep learning developments with hermeneutic philosophy, providing a philosophical perspective on AI's interpretative abilities and challenging assumptions of human-like understanding.

Findings

Deep learning disrupts traditional computing paradigms.

Hermeneutic philosophy offers insights into AI interpretation.

Questions the plausibility of human-like AI understanding.

Abstract

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.