AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 544 · 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.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
2. 2.True or false: “a story about a brave ant” asks for an image. (a) True (b) False
3. 3.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
5. 5.True or false: “check who is missing” adds to bias. (a) True (b) False
6. 6.Which of these is bad for training a model? (a) correct labels (b) blurry, unclear photos (c) new data for testing (d) many varied examples
7. 7.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
9. 9.Which of these describes how a normal program works? (a) follows fixed rules (b) improves with more data (c) makes a best guess (d) spots patterns in data
10. 10.True or false: “a soft lullaby melody” asks for music or sound. (a) False (b) True
11. 11.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
13. 13.🔍 Which is the odd one out? (a) sorting photos by face (b) suggesting a video (c) making up a story (d) unlocking with a face
14. 14.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
15. 15.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
16. 16.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
17. 17.Which of these is bad for training a model? (a) labels added at random (b) checking labels twice (c) examples of every type (d) photos in many lights
18. 18.True or false: “labelled fruit photos” is the model. (a) True (b) False
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
20. 20.True or false: a phone unlocking when it sees your face is AI recognising something. (a) False (b) True
21. 21.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can make up facts (c) AI answers need checking (d) AI knows everything
22. 22.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) music or sound (c) text
23. 23.Which of these is a myth about AI? (a) AI answers need checking (b) AI can make up facts (c) AI learns from data (d) confident means correct
24. 24.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
25. 25.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) same steps every time (d) handles unseen examples
26. 26.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
28. 28.Which of these is not AI? (a) photos grouped by face (b) face unlock on a phone (c) a doorbell (d) an app translating signs
29. 29.True or false: “a thank-you note to the bus driver” asks for an image. (a) True (b) False
30. 30.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
31. 31.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
32. 32.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) only one kind of example (d) correct labels
33. 33.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
34. 34.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
35. 35.True or false: “naming a new leaf” is a prediction. (a) False (b) True
36. 36.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
37. 37.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) AI knows everything (d) AI answers need checking
38. 38.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) only one kind of example (d) clear, sharp examples
40. 40.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) 500 labelled leaf photos (d) what training builds

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