In an AI era, the final student submission tells you less than ever. UnProctor gives instructors a complete audit trail — from first draft through every AI interaction to final response — so you can evaluate the learning, not just the output.
How does Zuboff's concept of “behavioral surplus” challenge traditional notions of privacy, and what are its implications for democratic governance?
The submission hasn't changed. But how it was produced has. And right now, you have no way to know.
Instructors could reasonably trust that a written submission reflected a student's genuine engagement with the material. It wasn't perfect, but the assumption was defensible.
AI detection tools generate false positives. Plagiarism checkers can't catch AI-paraphrased content. Instructors are left to make high-stakes decisions on instinct.
“It becomes difficult to push back and say ‘you used AI’ — because we don't have a tool to check. I looked online, and all the tools I'm hearing are just not reliable.”
— Public Health Professor · Research University
UnProctor captures the full writing process — before AI, during, and after — so you have the context to make informed decisions.
See every meaningful draft, not just the final output. Know exactly what a student had written before they touched AI.
Know when and how AI scaffolding was used. Every prompt, every response — with flagging for answer-seeking behavior.
Final answer vs. pre-AI draft, side by side. Added words highlighted. Words removed shown. Net change calculated.
You define what AI can and can't help with, per question. The assistant enforces your rules — not a generic policy.
UnProctor doesn't tell you if a student cheated. It gives you the information to have a real conversation.
Across your class roster, see a simple signal showing the ratio of original writing to post-AI revision. Surface outliers worth a second look — without generating false accusations.
Low signal — Student wrote most of the work independently, used AI to check reasoning.
Medium signal — Notable revision after AI use. Worth reviewing the before/after comparison.
High signal — Significant post-AI content added, plus flagged message. Open a conversation.
English, humanities, social sciences, law. Courses where process and original thought are the point — and where AI assistance most directly undermines the learning outcome.
Where originality and intellectual development matter as much as the final product. Qualifying exams, dissertation proposals, seminar papers — the work that defines a scholar.
For administrators who need a principled framework — not a blanket ban. UnProctor gives institutions the infrastructure to permit AI use responsibly, with full accountability.
I think where the AI has added complexity is — I am not sure if this is AI-written or not. If I can clearly say it’s AI-written, then it reduces the complexity. But I’m in this dilemma: I can’t point to students, because I don’t want to incorrectly blame them. I don’t want to go in that direction unless I have a way to confidently tell.
UnProctor is in early access. We're onboarding a small cohort of institutions for the first semester. No commitment required.
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Walk through a 3-step demo — from exam setup to student submission to the full audit trail.
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