Use Case
For academics who need to prove original scholarship.
Universities are struggling with AI policy enforcement. Detectors produce false positives that harm non-native speakers and neurodivergent students. Humanums offers a better model: let writers volunteer proof of process instead of running accusatory scans.
Quick Answer
Universities are struggling with AI policy enforcement. Detectors produce false positives that harm non-native speakers and neurodivergent students. Humanums offers a better model: let writers volunteer proof of process instead of running accusatory scans.
Replace accusation with voluntary proof
The current model is adversarial: run a detector, flag the student, force them to defend themselves. That process is unreliable and damaging. AI detectors routinely produce false positives, and the burden of proof falls on the student.
Humanums flips that dynamic. Students opt in to capture behavioral signals while writing, then submit a certificate alongside their paper. The proof comes from the process, not from a probability score applied after the fact.
Protect non-native speakers and neurodivergent writers
AI detectors have documented bias against non-native English speakers and writers with atypical prose patterns. Students who write in a second language or who have different cognitive processing styles are disproportionately flagged, even when their work is entirely original.
Process-based verification does not analyze the text itself. It watches how writing happens: keystroke timing, revision patterns, pause behavior. That makes it bias-resistant in a way that text-analysis detectors fundamentally cannot be.
Institutional adoption without infrastructure overhead
No servers to deploy, no LMS integration required. Students write in the Humanums editor, certify their work, and share the verification link. The entire workflow lives in the browser.
Institutions can verify any certificate through the public verification page. Faculty can check a student submission in seconds without installing software, requesting admin access, or learning a new platform.
Frequently asked questions
Can students game the system by typing out AI-generated text?+
The six-signal behavioral analysis catches unnatural patterns like uniform typing speed, absence of revisions, and paste-heavy workflows. Manually retyping AI output produces measurably different behavioral signatures than genuine composition.
Does this work for long-form academic writing?+
Yes. Humanums supports multi-session writing with auto-save, and behavioral signals persist across sessions. Whether a paper takes three hours or three months, the certification trail captures the full process.
What about collaborative papers?+
Each author certifies their contribution sections independently. The resulting certificates can be submitted together to show that every section of a collaborative paper has process-based verification.
Is student data private?+
Humanums never captures keystroke content, only timing and behavioral patterns. No actual text is stored in telemetry data. The student controls whether to share the certificate and with whom.
Give your students a better way to prove their work
Humanums captures the process of writing, not just the output. Start certifying academic work today.