LLM polishing and the visibility of methodological flaws
MethodologyComments
Right... and imagine the amount of groundbreaking data from non-English speaking labs that probably never saw the light of day because of a few awkward paragraphs... it's a huge win for accessibility!
The OP missed the disparity between the main text and the supplementary materials. If the narrative is AI-polished but the raw data logs and supplements remain clunky, that dissonance should actually make methodological gaps more obvious.
We had a similar conversation during the rise of professional medical editing services a few decades ago. The idea that it levels the playing field ignores that 'professional' prose often just replaces grammar errors with stylistic clichés that seasoned reviewers find just as distracting.
Many journals are now requiring explicit AI disclosure statements in the methods section. This transparency allows reviewers to know when the prose is decoupled from the author's native style, which helps them focus more objectively on the data.