The Poetics of Code: Generative AI and the Redefinition of Literary Creativity

Abstract

Artificial Intelligence (AI) has emerged as a transformative force across multiple domains, notably influencing the field of literature. This article investigates the creative potential of generative AI and examines its implications for human agency in artistic and intellectual production. It seeks to delineate the evolving capabilities of AI in literary creation and assess the psychological and philosophical responses to this technological advancement. Drawing upon a comprehensive review of scholarly literature sourced from prominent academic databases, including Scopus, Web of Science, and Google Scholar, the study engages with current discourses on the intersection of AI and creativity within literary studies. Methodologically, the research employs descriptive and analytical frameworks to examine the boundaries of AI-generated creativity. The findings indicate a growing apprehension among scholars and practitioners concerning AI’s capacity to replicate—or potentially surpass—human creative output. Of particular concern are issues related to fabrication, simulation, and the authenticity of creative expression. The emergence of generative AI has provoked fundamental inquiries into the ontology of creativity, historically regarded as a uniquely human trait encompassing originality, aesthetic sensibility, and imaginative problem-solving. Recent advances in machine learning and algorithmic design, however, challenge these assumptions by demonstrating that AI systems are increasingly capable of producing content that mimics, and sometimes innovates upon, human-like creativity. This technological shift necessitates a critical re-evaluation of the human-AI relationship in the realm of literary and artistic production.