AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 64 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
2. 2.🔍 Which is the odd one out? (a) only one kind of example (b) testing on training data (c) new data for testing (d) very few examples
3. 3.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
4. 4.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) the price (d) a sticker on a laptop
5. 5.Which of these is a fact about AI? (a) long answers are true (b) AI has real feelings (c) AI can be wrong (d) confident means correct
6. 6.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
7. 7.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) making up a story (c) spotting spam (d) inventing a recipe
8. 8.🔍 Which is the odd one out? (a) new data for testing (b) copies of one photo (c) checking labels twice (d) photos in many lights
9. 9.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) copy old unfair choices (d) ignore complaints
10. 10.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
11. 11.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
12. 12.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
13. 13.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
14. 14.True or false: “AI can be wrong” is a myth about AI. (a) True (b) False
15. 15.Which of these is the model? (a) past weather records (b) the learned patterns (c) naming a new fruit photo (d) labelled fruit photos
16. 16.True or false: “a poster of a rainforest” asks for music or sound. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) fix wrong labels (d) check who is missing
18. 18.🔍 Which is the odd one out? (a) photos grouped by face (b) voice typing (c) a spam filter (d) a digital watch
19. 19.Which of these is generative AI (it makes something new)? (a) predicting rain (b) sorting photos by face (c) creating a cartoon (d) unlocking with a face
20. 20.True or false: “ignore complaints” adds to bias. (a) True (b) False
21. 21.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
22. 22.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
23. 23.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, it gets sad (d) yes, just like us
24. 24.Which of these is bad for training a model? (a) clear, sharp examples (b) very few examples (c) many varied examples (d) examples of every type
25. 25.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
26. 26.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) typing a new spoken word (d) labelled fruit photos
27. 27.Which of these is good for training a model? (a) copies of one photo (b) correct labels (c) very few examples (d) wrong labels
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
29. 29.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
30. 30.True or false: “what training builds” is training data. (a) False (b) True
31. 31.📱 What is the AI doing here: turning your spoken words into typed text? (a) generating (b) recommending (c) predicting (d) recognising
32. 32.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
33. 33.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
36. 36.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a spam filter (d) a basic calculator
37. 37.🤖 Who builds and trains AI systems? (a) the weather (b) nobody at all (c) people (d) the Moon
38. 38.True or false: “never learns from data” describes how AI works. (a) False (b) True
39. 39.True or false: “five quiz questions on fractions” asks for music or sound. (a) True (b) False
40. 40.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests

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