AI Literacy Glossary

Foundations

Start here — the basic words behind AI, from algorithms to neural networks.

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How Models Learn & Train

What happens before you ever type a prompt: data, weights, and training runs.

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How Models Respond & Generate

What happens the moment you hit enter: prompts, tokens, and choices.

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Risks, Bias & Failure Modes

Where these tools go wrong — and how to spot it before it matters.

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Ethics, Governance & Data

Whose data, whose rules, whose cost — and who is accountable.

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Classroom Practice & Policy

Real choices for teachers: policies, rubrics, and everyday use.

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