The Poetry of Error: Analyzing Mistakes in AI-Generated English Works

  • Unique Paper ID: 179893
  • Volume: 11
  • Issue: 12
  • PageNo: 8673-8677
  • 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.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@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},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 8673-8677

The Poetry of Error: Analyzing Mistakes in AI-Generated English Works

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