If AI Ranks the Options, Who Chose the Ranking?
Imagine a community group asks an AI for ideas for a 40-minute learning session. It returns a numbered list. Even if the request was only to brainstorm, the could be mistaken for a recommendation.
A small design check:
- If no ranking was requested, present the ideas as an unranked set.
- If the reflects a criterion, state what it is and let the group change it.
- Include “none of these” or “add an option.”
The AI can suggest and organize possibilities; people decide whether the criterion fits and what to choose. This is a hypothetical design, not a report of a completed test.
If you tried it, ask whether participants understood what the meant and felt able to reject or rearrange the options. What cue would help distinguish an AI-generated list from an actual recommendation?