The real problem with AI detectors: catching cheating isn't teaching
birchlse · x · 2026-10-26
Responding to a question about whether faculty would trust AI detector Pangram enough to restore take-home exams — and to fail students based on its probabilistic judgment — Oliver Traldi lays out two deeper problems: (1) catching cheating creates a bureaucratic nightmare for professors, and (2) catching students cheating is not the same as successfully teaching them. Even a near-perfect detector doesn't fix the underlying pedagogy problem.
Related event: Debate Erupts Over Reliability of AI Text Detectors in Academia(3 posts)→
More from AGI Musings
- Digital minds get tired but can fully reset in minutes — and current self-models don't notice — repligate · 2026-10-26
- repligate: you're building the right things if stronger models make them more exciting — repligate · 2026-10-26
- Unlimited AI tokens, a $10,000 bill and 285,000 wasted lines: Deloitte finds 53% of CFOs only see AI costs when the invoice arrives — alex_verem · 2026-10-26
- Thread: Endgame is agents rewriting all software, specialist models dying to generalists — TAbrodi · 2026-10-26
- Michael Levin asks if humans' finite stint atop the mental food chain is part of life's meaning — teropa · 2026-10-26
- davidad digs into 'dynamical-systems attractor-structure functionalism' via Conley index theory — davidad · 2026-10-26