Watch the Proctor
Turn the cameras on the AI proctor: which innocent behaviours get students flagged?
The job
Find the innocent behaviours that make AI proctoring flag students as cheating, prove the pattern with evidence and appeal outcomes, get the rule changed with the vendor, and verify false-flag complaints fall at the next exam.
The moment
Monitor 3 reads FACE OBSTRUCTED: 37% of this term's false-flag complaints come from students adjusting their glasses or pushing back their hair, and 88% of those appeals were upheld. Its storyboard shows a student lifting a hand to her glasses, then the red FLAGGED frame. The dean sends the pack before midterms; after midterms monitor 3 goes dark, flags for that cause are down 90%, and the appeals committee's queue halves.
What it does
- Send evidence pack to the proctoring vendor
- Log a setting change with expected effect
- Notify affected students of the outcome
- Save a cause as a reusable search
- Open cause verbatims
What you see
An inverted CCTV wall (monitors watching the proctor, one per false-flag cause) with anonymised pictogram reconstruction storyboards and a rule register
What it moves
False-flag complaints per exam week per cause, and the appeal-upheld rate (appeals committee hours saved)
Built for
- Compliance, complaints & legal
- Partners & ecosystem
