The Hermeneutic Turn of AI: Are Machines Capable of Interpreting?
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866912135973437440 |
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| author | Demichelis, Remy |
| author_facet | Demichelis, Remy |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_12517 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Hermeneutic Turn of AI: Are Machines Capable of Interpreting? Demichelis, Remy Computers and Society Artificial Intelligence Human-Computer Interaction 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. |
| title | The Hermeneutic Turn of AI: Are Machines Capable of Interpreting? |
| topic | Computers and Society Artificial Intelligence Human-Computer Interaction |
| url | https://arxiv.org/abs/2411.12517 |