Maintaining Human Verification Capacity under Automation
Li Gan; Eric Gan · arXiv · 29 Sept 2026 · not peer-reviewed
01 · The key finding
A theoretical model identifies a risk: when AI checks errors and people invest less in checking skills, they detect fewer errors during an AI outage.
People need to detect errors without AI too
02 · The study
03 · What we take from it
Let employees look for errors without AI regularly. Check that they can still perform essential reviews independently.
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