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ComputingArtificial IntelligenceAges 7–9

AI Mistakes and Limitations

Machines make mistakes; they only know what they've been shown; bad training data leads to bad results; AI is not magic — just maths on data; showing edge cases and failures

Lesson

Set out your lesson

“AI Mistakes and Limitations means practising the idea at the table with a simple screen-free or sandbox check. We will demo once, then your child tries.”

Bring to the table

  • Two short recommendation cards or screenshot printouts
  • Pencil for compare notes
Extra for the adult

Worked example. A feed keeps showing football because past clicks were football — that can hide other topics (filter bubble).

Optional challenge. For AI Mistakes and Limitations, add one harder example after success.

What to notice. Keep one parent note: examples tried; results; support used. This session samples AI Mistakes and Limitations, not mastery.

Continue learning
Share and support
Family records and proof options

Keep a record of your learning

Save photos, notes, and attendance. Export a proof packet for compliance or portfolio reviews.

Practice this concept

Start practice
Gakuva activity

AI Mistakes and Limitations practice

Practice key ideas from AI Mistakes and Limitations.

Free · no login · no ads · Practice answers and completion are not saved. Parent observation remains the lesson record.

Learning resources

Extra practice links — they do not replace Gakuva’s teaching approach.

Code.org · Practice link — not the full lesson

AI for Oceans

Open practice (new tab)
Before you open · source notes

Deliberately probe mistakes: train a limited model, then test odd examples to see confident wrong answers. Discuss that AI can fail without “understanding.”

Free · no login required to play · account optional to save · no ads observed

Before you open

Save a screenshot of a wrong or uncertain classification and a parent note of why the learner thinks the model slipped.

Opening this link does not save learning or assess mastery.

Source, access and review notes

Unknown — link only

Google Creative Lab · Practice link — not the full lesson

Teachable Machine · Image

Open practice (new tab)
Before you open · source notes

Adult-guided mistake lab: train with unbalanced or similar-looking classes, then show a misclassification and improve the examples.

Free · no login · no ads observed · webcam optional

Before you open

Save a misclassification screenshot and a second screenshot after adding better training examples.

Opening this link does not save learning or assess mastery.

Source, access and review notes

Unknown — link only

Check understanding

  • Give an example of AI making a mistake (voice assistant mishearing, auto-correct error, wrong recommendation)
  • Explain that AI mistakes happen because of gaps or errors in training data
  • Describe why AI is not magic — it follows mathematical rules applied to data
“If an AI incorrectly identified a picture of a muffin as a chihuahua, could your child explain why that kind of mistake happens?”

Curriculum record

Type
Conceptual
Subject
Computing
Domain
Artificial Intelligence
Age range
Ages 7–9