greCAPTCHA: Assessing Understanding as Evidence of Research Authorship Under Generative AI
Conferences, journals, funders, schools, and universities are struggling with a surge of potentially AI-generated submissions from ostensibly human authors, who may not have exercised sufficient human oversight for their manuscripts. In turn, institutions evaluating submissions can no longer reliably credit expertise based solely on authors' names on submitted work. To address this problem, we propose greCAPTCHA, a proctored assessment approach that measures authors' understanding of research manuscripts via the construct of capacity to verify, which we define as the knowledge and reasoning required to critically assess the contents underlying one's contributions to a manuscript. greCAPTC...
| Authors | Justin Payan, Bálint Gyevnár, Atoosa Kasirzadeh et al. |
|---|---|
| Primary category | cs.DL |
| Published | 17 September 2026 |
| Last updated at source | 17 September 2026 |
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