Spotting AI Writing
Certainly, here are some examples of text generated by large language models. It's not just the use of em dashes, but the use of negative parallel structures like this. Wikipedia has compiled a list of signs that a piece of text has been generated by AI. We may soon get to a point where we won't be able to accurately distinguish human- and AI-generated content—at least, not without setting deliberate traps. Will it matter?
A history professor opens a student essay studded with em dashes and tidy 'it's not just X, it's Y' phrasings and knows instantly: a chatbot wrote this. Wikipedia even keeps a field guide to the tells. But we may soon reach a point where nobody can tell the difference — and this topic asks whether that will even matter.
Key concepts
- Stylometric Tells
- The statistical fingerprints of a writing style — chatbots overuse em dashes, balanced 'not only… but also' structures, relentless tidiness, so detection means spotting suspiciously smooth, patterned prose.
- The Detection Arms Race
- Detectors and AI writers improve against each other endlessly — every reliable 'tell' gets trained out of the next model, which is why AI-text detectors stay unreliable.
- Deliberate Traps
- Cues planted to catch AI use — a hidden instruction in an assignment, or a question only someone who did the reading could answer; since passive detection fails, teachers bait the trap.
- Authorship And Authenticity
- Whether it matters who — or what — produced a text, if the text is good; our trust in writing has always assumed a human mind behind it, which AI quietly removes.
What to know
-
01
Detection is losing by design — every reliable AI 'tell' becomes training data the next model learns to avoid, so the field guide is a snapshot of a moving target and passive detection is set up to lose.
Keep reading the full lesson
The rest of this lesson — every key insight, the cross-subject connection, the Are We There Yet? theme tie-in, and practice questions — comes with full access.
Unlock full access →$9.99/month, or $29.99 for the whole season — see plans.
New here? Create a free account to read the free section first.