The Hermeneutic Turn of AI: Are Machines Capable of Interpreting?
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 20 references that are in the map. First posted on arXiv 19 Nov 2024.
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2 of 20 references.
References · 2
- 2017A Unified Approach to Interpreting Model Predictionscited by 6,555
- 2016"Why Should I Trust You?": Explaining the Predictions of Any Classifiercited by 5,070
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