Kuchtová Alžbeta
Institute of Philosophy, VVI, Slovak Academy of Sciences, Klemensova 19, P.O. Box 3364, 813 64 Bratislava, Slovakia.
Philos Technol. 2024;37(1):25. doi: 10.1007/s13347-024-00708-0. Epub 2024 Feb 17.
In this paper, I explore Derrida's concept of exteriorization in relation to texts generated by machine learning. I first discuss Heidegger's view of machine creation and then present Derrida's criticism of Heidegger. I explain the concept of iterability, which is the central notion on which Derrida's criticism is based. The thesis defended in the paper is that Derrida's account of iterability provides a helpful framework for understanding the phenomenon of machine learning-generated literature. His account of textuality highlights the incalculability and mechanical elements characteristic of all texts, including machine-generated texts. By applying Derrida's concept to the phenomenon of machine creation, we can deconstruct the distinction between human and non-human creation. As I propose in the conclusion to this paper, this provides a basis on which to consider potential positive uses of machine learning.
在本文中,我探讨德里达的外在化概念与机器学习生成的文本的关系。我首先讨论海德格尔关于机器创造的观点,然后阐述德里达对海德格尔的批评。我解释可迭代性的概念,这是德里达批评所基于的核心概念。本文所捍卫的论点是,德里达对可迭代性的论述为理解机器学习生成的文学现象提供了一个有益的框架。他对文本性的论述突出了所有文本(包括机器生成的文本)所具有的不可计算性和机械性元素。通过将德里达的概念应用于机器创造现象,我们可以解构人类创造与非人类创造之间的区别。正如我在本文结论中所提出的,这为考虑机器学习的潜在积极用途提供了一个基础。