Autonomy of Language and Literature in the Artificial Intelligence Era: A Study

Abstract

The increase of generative artificial intelligence (AI) has begun an influential ontological shift in
the creation and consumption of written composition. The present paper explores the concept of
linguistic and literary autonomy in an era where Large Language Models (LLMs) can adopt
distinctive narratives and recreate sophisticated stylistic nuances. The primary objective of this
study is to determine whether autonomy of language and literature remains an independent human
expression or is transitioning into a predictive, algorithmic commodity. Drawing upon a
combination of literary theory and computational linguistics, the research evaluates the
distinction between simulated creativity and intentional authorship. It argues that while AI
demonstrates high levels of functional autonomy, the ability to generate a text without direct
human intervention. It lacks the existential autonomy rooted in subjective experience and
historical context. The paper will examine the risk of stylistic homogenization, wherein the
recursive nature of AI training loops may lead to a stagnation of literary evolution.