The Machine as Author: Examining AI's Contribution to New Literary Genres

The rapid growth of artificial intelligence - especially in creative domains - has literature in its sights. This opposes the rising phenomenon of AI, which assumes a growing role as a literary coauthor, and examines its reading effect on the crystallization as well as creation of literary genres. Traditional texts are a part of human conscious, emotions and life style. But with AI-generated texts, such conventions become challenging when narrative structures, experimental aesthetics, and genre-bending compositions are introduced - things that range from narratives that upend common literary conventions. This study adopts an interdisciplinary perspective to investigate how machine-generated narratives are revolutionizing the art of creative writing. Working through outputs from language models like OpenAI's GPT family, Google's BERT and various generative tools, we start to notice some of the traits of AI fiction and poetry, which tend to be more surreal, hyperreal and posthuman than texts composed by humans. These are stories that marry humanmade prompts with algorithmic creativity, with hybrid genres that straddle author and machine. Throughout this paper, a large thread of the focus is the emergence of a form of “algorithmic literature”, which we define as the moment when the machine goes beyond being a simple tool, or perhaps even a partner in authorship, and can at times, achieve full autorship. This transformation challenges conventional ideas of authorship, originality and intellectual property. A formulation that allows the machine logic and statistical predictability to be used to completely different narrative logic and styled choices that literatures expressions no longer make. In this context we explore the implications of AI in practices such as speculative fiction, flash fiction and digital poetry. AI's ability to recognize patterns, synthesize and generate text at enormous scale and speed offers an opportunity for micro-narratives and bizarro prose that, who knows, might have been too hard for human scribes to even conceive themselves. These elements nurture creativity - they force new forms of literature to sprout up, ones that explore concepts of artificial consciousness, existential paradoxes as well as alt-reality - all topics theoretically reverberating with the essence of what AI is. It also goes on to comment on implications of AI-written content in publishing, academia, and in reception from readers.

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Published
2025-03-27
DOI
https://doi.org/10.1109/icfts62006.2025.11031716
Primary Topic
Digital Humanities and Scholarship
Type
article
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article

The Machine as Author: Examining AI's Contribution to New Literary Genres

R. Kunjana Rahardi, Sultan Sultan, Andri Pitoyo, Maryelliwati Maryelliwati et al.
Digital Humanities and Scholarship
article

The Machine as Author: Examining AI's Contribution to New Literary Genres

R. Kunjana Rahardi, Sultan Sultan, Andri Pitoyo, Maryelliwati Maryelliwati, Ani Rakhmawati, Kundharu Saddhono
article en

Abstract

The rapid growth of artificial intelligence - especially in creative domains - has literature in its sights. This opposes the rising phenomenon of AI, which assumes a growing role as a literary coauthor, and examines its reading effect on the crystallization as well as creation of literary genres. Traditional texts are a part of human conscious, emotions and life style. But with AI-generated texts, such conventions become challenging when narrative structures, experimental aesthetics, and genre-bending compositions are introduced - things that range from narratives that upend common literary conventions. This study adopts an interdisciplinary perspective to investigate how machine-generated narratives are revolutionizing the art of creative writing. Working through outputs from language models like OpenAI's GPT family, Google's BERT and various generative tools, we start to notice some of the traits of AI fiction and poetry, which tend to be more surreal, hyperreal and posthuman than texts composed by humans. These are stories that marry humanmade prompts with algorithmic creativity, with hybrid genres that straddle author and machine. Throughout this paper, a large thread of the focus is the emergence of a form of “algorithmic literature”, which we define as the moment when the machine goes beyond being a simple tool, or perhaps even a partner in authorship, and can at times, achieve full autorship. This transformation challenges conventional ideas of authorship, originality and intellectual property. A formulation that allows the machine logic and statistical predictability to be used to completely different narrative logic and styled choices that literatures expressions no longer make. In this context we explore the implications of AI in practices such as speculative fiction, flash fiction and digital poetry. AI's ability to recognize patterns, synthesize and generate text at enormous scale and speed offers an opportunity for micro-narratives and bizarro prose that, who knows, might have been too hard for human scribes to even conceive themselves. These elements nurture creativity - they force new forms of literature to sprout up, ones that explore concepts of artificial consciousness, existential paradoxes as well as alt-reality - all topics theoretically reverberating with the essence of what AI is. It also goes on to comment on implications of AI-written content in publishing, academia, and in reception from readers.

Sebelas Maret University (ID), Sanata Dharma University (ID), Institut Seni Indonesia Padangpanjang (ID), Universitas Nusantara PGRI Kediri, State University of Makassar (ID)
Openalex Percentile: Top 85%
Digital Humanities and Scholarship
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