AI Writing Tools and Paper Mills Are Different Problems Needing Different Fixes

Experts warn that academic integrity debates conflate two distinct issues: researchers using AI to draft or polish their work, and fraudulent paper mills submitting fabricated manuscripts to pad publication records. The first is considered a disclosure matter, while the second is outright fraud that predates generative AI, having previously relied on image manipulation and fabricated data. Policies targeting AI-generated text risk penalizing legitimate assisted writing while failing to catch lightly reworded fraudulent content. Paper mills persist because hiring and promotion systems reward publication counts, creating demand that generative tools made cheaper to supply but did not originate. More effective interventions focus on verifiability — such as requiring open data and code — rather than attempting to detect how content was produced.