Artificial and Post-Artificial Texts

On Machine Learning and the Reading Expectations Towards Literary and Non-Literary Writing

Autor/innen

https://doi.org/10.12685/bmcct.2023.007

Schlagworte:

AI literature, Artificial texts, ChatGPT, Machine Learning, Language Models, Assistive Writing, AI Writing

Abstract

In contrast to the times of Höllerer and Zemanek, we are now truly on the threshold of being surrounded by texts that are entirely artificial—while at the same time we continue to merge with our language technologies in our own writing, so that our text production is increasingly supported, extended, and partially taken over by assistance systems. Therefore, I want to discuss—quite speculatively, but always with an eye on the state of the art—two questions: first, what happens when we are confronted with artificial texts in addition to natural ones? How do we read a text that we can no longer be sure was not written by an AI? And second, what direction might this development take if, at some point, the distinction between natural and artificial itself becomes obsolete, so that we no longer even ask about it and instead read post-artificial texts?

Artificial and Post-Artificial Texts

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Veröffentlicht

01.03.2023

Zitationsvorschlag

Bajohr, H. (2023) „Artificial and Post-Artificial Texts: On Machine Learning and the Reading Expectations Towards Literary and Non-Literary Writing“, Basel Media Culture and Cultural Techniques Working Papers, (007), S. 1–31. doi: 10.12685/bmcct.2023.007.