‘But there is a difference between recognising AI use and proving its use. So I tried an experiment. … I received 122 paper submissions. Of those, the Trojan horse easily identified 33 AI-generated papers. I sent these stats to all the students and gave them the opportunity to admit to using AI before they were locked into failing the class. Another 14 outed themselves. In other words, nearly 39% of the submissions were at least partially written by AI.‘
Article archived: https://web.archive.org/web/20251125225915/https://www.huffingtonpost.co.uk/entry/set-trap-to-catch-students-cheating-ai_uk_691f20d1e4b00ed8a94f4c01
Google glass HUD with AI. transcription
Should be pretty easy to detect with the right equipment. Like I assume it’s not doing much of that locally, so a wifi detector and triangulator will catch any wifi devices that are powered on and roaming proctors could carry bluetooth detectors for people trying to evade detection by using short range signals (and I guess processing it on their phone with wifi disabled).
Lol wut. You just detected 80 WiFi devices in a room with 3 people. Most of them are outside the classroom
Institutions don’t want to catch students tho especially for private universities.
I know at least one college where they give exams on laptops and their anti-cheating system doesn’t work on mac.
Mac users can open google or chatgpt during their midterm and finals. The school knows, they just enjoy better pass-rates.
In a more general example, every college including mine give all students premium chatgpt and copilot accounts paid to Microsoft by our tuition.