More Claims, Less Evidence: Bounded Verification of AI-Generated Digital Knowledge Artifacts
Feliks Bańka, Jarosław A. Chudziak · arXiv / ICADL 2026 · 4 Oct 2026 · peer-reviewed
01 · The key finding
If an AI text contains more claims but the number checked stays fixed, the sample covers a smaller share. Errors can more easily remain undetected.
Longer AI texts need more checking
02 · The study
03 · What we take from it
Match the number of statements checked to text length and the consequences of errors.
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Sources
State of Modernization Report 2026
Kyndryl, Coleman Parkes · Kyndryl · 1 Oct 2026 · not peer-reviewed
AI-Decision Checkpoints for AI-Augmented Business Process Management: Framework and Educational Instantiation
Amin Jalali · arXiv · 5 Oct 2026