New AI Tool Uncovers 1,000 Questionable Scientific Journals

Researchers at the University of Colorado Boulder have unveiled an AI-powered tool that automatically identifies so-called 'questionable' or predatory scientific journals, addressing a key challenge in academic publishing. The new platform systematically scans and flags journals that lack proper vetting, which are notorious for soliciting publication fees without adequate peer review. The study, published in Science Advances on August 27, 2025, demonstrates how AI can help restore trust in the scientific process and protect researchers from falling prey to dubious publication schemes. Lead author Daniel Acuña highlights the importance of technological solutions as the volume and sophistication of predatory journals continue to grow. Early results suggest this AI tool can serve as a watchdog for academic quality, potentially transforming how institutions evaluate publication venues and career advancement.