Member-only story

AI Detection vs. Language Polish: Blurring Lines in Academic Integrity

We must evaluate the substance of ideas, not just their linguistic presentation.

Shuyi Wang
4 min readDec 7, 2024

In recent years, scholars have increasingly embraced AI tools as writing aids in academic publishing and research. Many researchers view these tools as language polishing assistants, helping them present their original research more effectively to the international academic community through clearer and more fluent writing. However, as AI detection tools become more prevalent, they often flag manuscripts as “AI-generated” based solely on writing style and statistical patterns. These tools scan for patterns and writing style markers, treating highly polished and consistent writing as suspicious — much like an overzealous security system that judges entries purely on surface features, without truly understanding the underlying content and ideas.

This creates a dilemma for serious researchers. Consider a scholar who has unique data and original ideas, who has spent months designing experiments and analyzing results. If they use AI tools for grammar correction and language polish due to limited English proficiency, the core ideas and content remain their original work. Yet facing AI detection tools, their well-structured and polished paper might accidentally match…

--

--

Shuyi Wang
Shuyi Wang

Written by Shuyi Wang

PhD in Information Science. Associate Professor at Tianjin Normal University. Former Adjunct Faculty at UNT. First Prize Winner of HackNTX 2018.

No responses yet