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@article{179893,
author = {Humera Nafees and Mohammed Kaif and Mohd Afnan Khan and AbdulHaseeb and P Kaif Ali Khan},
title = {The Poetry of Error: Analyzing Mistakes in AI-Generated English Works},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {12},
pages = {8673-8677},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=179893},
abstract = {Artificial intelligence is playing a big role in
creative writing, with tools like Deepseek and ChatGpt
generating stories, poems, and articles that can sound
surprisingly natural. But if we observe them closely,
there’s still something missing. These AI-generated
texts often seems to be emotionally flat, sometimes
awkward, and also sometimes repetitive. These AI
Models struggle with things like keeping a consistent
tone, understanding deeper meanings behind words,
something we usually do without thinking twice.
Our paper, "The Poetry of Errors: Analyzing
Mistakes in AI-Generated English Works," looks at
those common errors. By going through samples of AI
written poems and stories, it points out where AI tends
to mess up and whether it’s misusing literary devices,
missing emotional cues, or just sounding too
mechanical.
Our paper doesn’t stop at the problems, though. This
paper also suggests many ways to fix or at least
improve these issues. The solution includes training AI
Models with more context-rich data which has
emotions, designing systems that learn from human
feedback along with their mood analysis, and
encouraging human-AI collaboration instead of
relying on these AI Models completely. Adding better
cultural understanding and real-time editing by people
will also help to solve this problem. In the end, even
though AI is a great tool for writers, this paper argues
that the human touch which has our creativity,
emotions, and instinct is still something that
algorithms and their few lines of syntax can't fully
copy.},
keywords = {},
month = {May},
}
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