Fix the incentives to curb AI-driven fraud in scientific publishing

TL;DR Summary
Generative AI accelerates the publish-or-perish pressure by enabling rapid fabrication of papers, with detectors often lagging behind increasingly convincing AI-made content. While disclosure norms and screening tools help, experts say the core fix is systemic: reward quality over quantity, adopt data attestations and provenance standards, and align funders, institutions, and publishers to slow AI-enabled fraud. Detection buys time, but meaningful reform requires changing the incentives that drive researchers to publish large volumes.
Topics:health#ai-in-science#paper-mills#peer-review#research-integrity#science-policy#scientific-publishing
Reading Insights
Total Reads
0
Unique Readers
5
Time Saved
10 min
vs 11 min read
Condensed
97%
2,167 → 72 words
Want the full story? Read the original article
Read on C&EN