Features
Integrity Analysis: How AI Detects Copying and AI-Written Answers
May 2026 · 7 min read · By Proctor AI Team
Integrity analysis is the process of checking a set of student submissions for copying, shared answers, and AI-generated text. At scale, this is almost impossible to do by eye. Proctor AI runs it automatically across the whole class and flags what looks suspicious, so you can make the final judgment with evidence in front of you.
The three signals the agent looks for
| Signal | What it catches | How the agent reads it |
|---|---|---|
| Copying between students | Answers too similar to be independent | Compares every paper against every other, weighing shared mistakes |
| AI-generated text | Answers written by an AI model | Looks for the statistical fingerprints of machine writing |
| Matching images | Identical diagrams, graphs, or labelled drawings | Compares figures across the class, not just text |
Why matching mistakes matter more than matching answers
Two students can write the same correct answer because it is correct. That is not copying. What the agent weighs more heavily is shared errors: the same wrong working, the same odd phrasing, the same misspelling in the same place. Independent students rarely make identical mistakes, so shared errors are a far stronger signal than shared correct answers.
Checking every pair of papers in a class of 40 means 780 comparisons. No teacher does that by hand. The agent does it as a matter of routine, then hands you the short list worth looking at.
How AI-written answers are detected
AI-generated text tends to be unusually fluent, evenly structured, and generic in a way that differs from how a student under exam conditions actually writes. The agent looks at these patterns across an answer and compares them with the student's other work and the class as a whole. As with copying, the result is a flag for your review, not a verdict.
Good integrity analysis lowers the cost of checking, not the standard of proof. The teacher still makes the call.
Running it is part of normal grading
You do not run integrity analysis as a separate, heavy step. Add it to your grading prompt and the check happens alongside the marks. By the time the batch is graded, the flags are waiting for you.
Frequently asked questions
How does AI detect copying between students?
Proctor AI compares every submission against every other one and weighs shared mistakes, identical phrasing, and matching diagrams more heavily than shared correct answers, because independent students rarely make identical errors.
Can it detect AI-written answers?
Yes. It looks for the statistical patterns typical of AI-generated text and compares an answer with the student's other work and the rest of the class, then flags it for your review.
Does it accuse students automatically?
No. It surfaces evidence by showing the papers side by side and highlighting the overlap. The teacher always makes the final decision.