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The Incalculability of the Generated Text.

Alžbeta Kuchtová
Published in: Philosophy & technology (2024)
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.
Keyphrases
  • machine learning
  • deep learning
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  • artificial intelligence
  • big data
  • induced pluripotent stem cells
  • systematic review
  • pluripotent stem cells
  • smoking cessation
  • risk assessment
  • human health