AI Editing Experiment: How ChatGPT Stacks Up Against Human Editors
In a recent experiment, professional editors compared AI editing tool ChatGPT to human editors on a short story that had already undergone multiple rounds of human editing.
Key Takeaways:
- ChatGPT’s initial suggestions were generic, resembling common creative writing workshop feedback or advice found in books on the writing craft.
- The AI tool’s attempts to rewrite the story resulted in a radical change, turning an allegory-rich narrative into a completely different, less nuanced story.
- Human editors provided insightful, targeted feedback that delved into the emotional and narrative dynamics of the story, going beyond mechanical editing.
- ChatGPT’s performance in correcting tense, spelling, and punctuation issues, while efficient, lacked the subtlety and nuance required for literary fiction editing.
- Ultimately, the experiment revealed that ChatGPT has limitations, making it more harmful than helpful in editing literary fiction when used without human editorial intelligence.
Summary:
The experiment involved submitting a short story, “The Ninch,” to ChatGPT for editing after it had been worked on by human editors. ChatGPT’s initial suggestions were generic and didn’t align with the nuances of the story. In subsequent rounds, the AI’s attempts to rewrite the text resulted in a radical change, failing to capture the essence of the original narrative.
On the other hand, human editors provided insightful and targeted feedback that went beyond mechanical editing, delving into the emotional and narrative dynamics of the story. Although ChatGPT efficiently identified issues with tense, spelling, and punctuation, its lack of subtlety and nuance showed its limitations in editing literary fiction without human editorial intelligence.
Overall, the experiment highlighted how AI and human editors could potentially work together, with AI suggestions being scrutinized and integrated or dismissed during the creative process. However, it concluded that ChatGPT’s current limitations make it more harmful than helpful in editing literary fiction without the input of human editorial intelligence.
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