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A South China Morning Post guide for young readers offers a practical rule for using AI tools: treat their answers as something to check, not something to accept on trust. The article warns that errors or bias in training data can show up in a system’s decisions.

Why it matters

It recommends checking AI’s work, asking follow-up questions and not letting it make important decisions alone. It also advises young people to avoid unnecessary AI use so they can practise what they are learning without a shortcut. That is useful advice beyond the classroom, even if “use AI wisely” is easier to say than to turn into a habit.

Discuss: Which should matter more in AI education: teaching people to check outputs, or setting clearer limits on when they use the tools?

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