AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 747 · 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.🔍 Which is the odd one out? (a) reading number plates (b) spotting spam (c) writing a new poem (d) sorting photos by face
2. 2.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
3. 3.Which of these is a myth about AI? (a) AI learns from data (b) AI is never wrong (c) AI can make up facts (d) AI copies data patterns
4. 4.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
5. 5.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
7. 7.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
8. 8.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
9. 9.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a hallucination (d) a summary
10. 10.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) printing (d) cooking
11. 11.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
13. 13.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
14. 14.Which of these is bad for training a model? (a) checking labels twice (b) blurry, unclear photos (c) correct labels (d) photos in many lights
15. 15.True or false: “a picture of a castle made of mangoes” asks for an image. (a) False (b) True
16. 16.Which of these uses AI? (a) a light switch (b) face unlock on a phone (c) a calculator (d) a digital watch
17. 17.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
19. 19.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) labels added at random (d) photos in many lights
20. 20.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
21. 21.True or false: “it has a neat layout” is a real way to check an AI answer. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) AI knows everything (b) AI copies data patterns (c) AI learns from data (d) AI can mix up numbers
23. 23.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
24. 24.Which of these describes how a normal program works? (a) gives a likely answer (b) improves with more data (c) handles unseen examples (d) same steps every time
25. 25.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
26. 26.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
27. 27.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
28. 28.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
29. 29.Which of these is good for training a model? (a) new data for testing (b) only one kind of example (c) blurry, unclear photos (d) testing on training data
30. 30.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) learns from examples (d) follows fixed rules
31. 31.🎨 An image generator makes a picture from… (a) a text description (b) your password (c) a phone number (d) the weather
32. 32.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) the trained program (d) naming a new leaf
33. 33.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) drawing a new picture (c) spotting a sick leaf (d) composing a new tune
34. 34.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
35. 35.True or false: “naming a new leaf” is the model. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) suggesting a video (b) inventing a recipe (c) drafting a letter (d) writing a new poem
37. 37.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
38. 38.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
40. 40.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) generating (c) predicting (d) recognising

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