AI-generated papers shifted the cost from writing to checking.
Science reported that rigorous human checking of AI-generated research papers is creating bottlenecks as publishers try to preserve research integrity. The material point is that AI can lower the cost of producing submissions while raising the downstream labor required to verify methods, citations, originality, and claims.
Verified 8:45 PM PDT · 1 original sources
The article describes publishing-system pressure, not a universal productivity measurement across all scientific work. The cost balance depends on field, journal process, reviewer capacity, and the quality of the AI-generated material.
Retraction rates, desk-rejection rules, disclosure policies, AI-detection reliability, reviewer compensation, publisher tooling, and whether journals publish data on review time for AI-assisted submissions.
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