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Review article

https://doi.org/10.15291/csi.4607

Is Style “Only Human” Today? Style in AI Poems about a Cloud and Death

Đurđica Garvanović-Porobija ; Independent Scholar *

* Corresponding author.


Full text: croatian pdf 606 Kb

page 143-169

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Abstract

This paper explores the style of Artificial Intelligence (AI)
songs about a cloud and death generated by the Microsoft
Copilot in collaboration with the author of the article, with
the fundamental purpose of examining the stylistic reaches
in AI songs sui generis and compared to human samples, in
order to determine the meaning and potential of collaboration
with AI in writing poetry. The Introduction presents the context
of research into the topic of AI poetry, which points to
the limitations and development of the field. In two chapters,
a stylistic analysis was conducted according to the postulates
of traditional stylistics, literary stylistics, and stylistics of
discourse of four generated poems about a cloud and four
about death. Patterns are the poems “Cloud” by D. Cesarić
and “Death” by A. B. Šimić. The analysis of the generated
poems examined primarily quotes, paraphrases, and other
stylistic figures, in order to determine the characteristics of
poetic discourse and the profile of intertextuality between the
generated poem and the pattern. The result of the analysis
shows the shortcomings of the generated poems at the level
of figures of diction, rhythm, and euphony, but also inventive
possibilities in changes to the style register towards brighter
alternatives. The discourse of generated songs characterizes
a fondness for idealistic, metaphysical, and artistic concepts
of thought and a penchant for action. At the semantic level, a lack of pain and a significant lack of treatment with the topic
of death were observed. Despite the shortcomings, this work
shows that future collaboration with the AI generator can be
fruitful for human poets and interpreters in terms of focusing
on alternative creative solutions.

Keywords

Copilot; generation; style; stylistic analysis; AI poetry

Hrčak ID:

324957

URI

https://hrcak.srce.hr/324957

Publication date:

23.12.2024.

Article data in other languages: croatian

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