- Who it helps
- Researchers and teams deciding how much review an AI workflow needs.
- Availability
- The August 9 paper is publicly readable. This is an evaluation proposal; a standardized deployed measurement tool was not verified.
Checking has a cost
An answer can look useful while taking more time to verify than the task allows. The proposal makes the verifier’s resources part of the error definition.
State the review conditions
A useful comparison must specify who checks, what information they receive and their budget. Results under one set of conditions need not transfer to another.
What you can do
- Define a realistic review budget before comparing error-detection results across workflows. Open reference ↗
Where the evidence stops
This older paper is included as catch-up research. No evaluation was reproduced.
Sources read. Sources checked October 21, 2026. No product workflow or benchmark was executed.
Sources & further reading
Paper · paper
Verification-Cost Errors ↗
Selected for direct evidence about the subject, its availability, limitations or the provenance of discussion.
Verification-Cost Errors authors · page checked 2026-10-21 · Published 2026-08-09
Coverage note: Independent hands-on testing and cross-platform discussion are incomplete. Public X search failed; no missing links or engagement counts are inferred.
The record over time (1)
Dated source checks and published explanations. An observation date can differ from the original release date.
- · Added to Current
Verification-Cost Errors asks evaluators to count incorrect AI outputs that people fail to detect within a stated checking budget.