3–5 · Data, Classification, Fairness

What Does AI Learn From?

Unit 1 introduces the detective's first clue: AI learns from the data and examples people give it. Across five 30–45 minute lessons, students compare good and weak examples, hunt for patterns in data, see how limited data makes AI go wrong, and improve a training set to make AI fairer and smarter.

📘 5 lessons · 30–45 min lessons📄 5 printable activities + certificate

The 5 lessons

  1. 1

    What Does AI Learn From?

    30–45 min

    Students discover that AI doesn't just know things — it learns from the examples and data people give it.

    Vocabulary: AI · data · example

  2. 2

    Good Examples, Bad Examples

    30–45 min

    Learners compare two sets of examples and decide which would train an AI better, and why clear beats confusing.

    Vocabulary: example · data · clear · confusing

  3. 3

    Patterns in Data

    30–45 min

    Kids find and describe patterns in a small set of data — the repeating clues AI uses to make decisions.

    Vocabulary: pattern · data · feature

  4. 4

    When AI Gets It Wrong

    30–45 min

    Students explore how weak or limited training data leads AI to make mistakes — and that it isn't being mean, it just learned from poor examples.

    Vocabulary: mistake · training data

  5. 5

    Improve the Training Set

    30–45 min

    Learners fix a weak training set by adding better, fairer examples and explain how their changes help the AI.

    Vocabulary: train · training data · improve

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