L108 · AI at work · 3 min
Teachers: AI homework and fair judgment
AI detectors are unreliable, so fair teachers rely on conversation, process and well-designed tasks instead of a detector score.
01 · The idea
AI text detectors give a score that looks precise but often is not. They miss AI text that was lightly edited, and they wrongly flag human writing. Studies have found they flag writing by non-native English speakers more often, which makes them unfair as evidence.
Treat a suspicion as a reason to talk. Ask the student to explain their argument, define a word they used, or describe how they wrote it. Someone who did the work can usually talk about it.
Design tasks that show process: drafts, notes, an in-class part, a short reflection on how they worked. Connect tasks to class discussions or local examples AI would not know.
Set clear rules about when AI is allowed and how to say they used it. Many students use it because the rules are unclear, and an honest policy invites honest answers.
02 · Think of it like this
It is like a smoke alarm that goes off when you make toast. You would not call the fire brigade on the toast alone.
03 · Do it now
04 · Quick check
Words in this lesson
See also
L140AI at work · 3 min
AI in hiring: your rights and tips
Many employers use software to sort CVs and screen interviews, so write clearly for both the machine and the person, and ask how decisions are made.
L159AI at work · 3 min
How to compare AI assistants fairly
To know which assistant suits you, give each the same real tasks, the same way, and judge the answers against a simple scorecard.
L200AI at work · 3 min
Reading customer feedback at scale
Paste a batch of reviews or survey answers and ask AI to group them into themes with counts and real quotes.
L204AI at work · 2 min
Writing a job post
Tell AI what the person will actually do each week and what they truly need, and you get a job post that attracts the right people.