AI for Academic and Research Writing

The AI Behavior Index is the research arm of OneChat AI. This page is unusual in that it requires triangulating across two very different bodies of evidence: self-reported survey data (HEPI for students, Elsevier / Oxford UP / Nature for researchers) and forensic-detection studies of actual published work (Desaire et al. for the MDPI corpus). The two methodologies produce strikingly different numbers, and both are valid measures of different things — stated use vs detected text generation.

Three caveats worth flagging. First, "use" is defined differently across surveys: some count any AI interaction during research, others count direct text generation in papers. Second, social-desirability bias likely pushes researcher self-reports in opposite directions depending on framing — some understate to avoid stigma, others overstate to appear current. Third, the Desaire et al. detection rate (1–3%) is now over two years old; given the steep acceleration in student use over the same period, undisclosed academic use has likely risen substantially since. Data is refreshed when major surveys publish. If you have a study to suggest or notice an error, contact us at research@aibehaviorindex.org.