Study Ties AI to 42% Jump in Journal Submissions as Research Quality Falls
Updated
Updated · Financial Times · Jul 24
Study Ties AI to 42% Jump in Journal Submissions as Research Quality Falls
3 articles · Updated · Financial Times · Jul 24
Summary
A spring study by Organization Science editors found submissions to the journal have risen 42% since 2022, with AI use linked to a significant drop in paper quality.
The same analysis found peer-review comments also deteriorated, with reviewers focusing more on theory than on new findings and underlying data.
Nearly 400 publication-ready finance papers could be generated by AI in 12 hours, according to a March Journal of Economic Literature paper, underscoring fears that journals will be flooded with low-value work.
A 2,127-word review returned in 14 minutes and concerns over reviewers uploading confidential drafts into large language models have sharpened worries about review integrity and intellectual property.
Medical researchers have also warned AI-assisted studies can produce flawed methods and misleading correlations, even as some academics say the tools still boost productivity when tightly guided by humans.
AI detectors are unreliable. How can academia now stop the surge of fraudulent papers?
AI research relies on our private data. Is this trade-off for flawed science worth the risk?
From 42% Submission Surge to Fabricated References: AI’s Disruption of Academic Integrity (2022–2026)
Overview
Since the release of advanced AI tools like ChatGPT in late 2022, academic publishing has changed dramatically. There has been an unprecedented surge in manuscript submissions, especially to journals like Organization Science, which saw a 42% increase. Most of these new submissions now show some degree of AI assistance, while purely human-authored papers have declined. This rapid shift has raised serious concerns about quality and placed heavy strain on the traditional peer review system. Editors largely attribute these changes to AI involvement, highlighting the urgent need for new approaches to maintain research integrity.