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Schools Are Teaching Students When Not to Use AI

Some schools are moving beyond the question of whether students should be allowed to use AI and towards a more useful one: do students understand when they should not use it?


An Associated Press report from the United States highlights districts that are replacing blanket bans with AI-literacy programmes. In Charleston County, teachers and students are being taught about hallucinations, bias, data privacy and the need to verify information rather than simply learning how to write better prompts.


The shift reflects a broader definition of AI literacy. Students need to understand what these systems can do, where they can fail, what information should not be shared with them and when using AI would undermine the thinking or practice a task is designed to develop.


A useful distinction for schools


For international schools developing AI guidance, this is a practical distinction. A policy can explain where AI is permitted, but students also need enough judgement to decide whether it is appropriate.


That might mean checking an AI-generated explanation against reliable sources, choosing to solve a problem independently before asking for assistance, or recognising that a reflective task loses much of its value if the thinking is outsourced.


The strongest AI-literacy programmes may therefore be the ones that teach students both how to use the technology and how to work effectively without it.



Featured image: Gaurav Tiwari / Unsplash.

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