AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 722 · 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.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) a sticker on a laptop (d) the price
2. 2.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI copies data patterns (c) confident means correct (d) AI answers need checking
4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
6. 6.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
8. 8.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
9. 9.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
10. 10.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it has a screen (d) it learns from examples
11. 11.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
12. 12.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
13. 13.True or false: “a poster of a rainforest” asks for an image. (a) True (b) False
14. 14.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
15. 15.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) copy old unfair choices (d) use one group only
16. 16.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
17. 17.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) print pages (d) charge faster
18. 18.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
19. 19.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) balance the data (d) ignore complaints
20. 20.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) wrong labels (d) clear, sharp examples
21. 21.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
22. 22.🔍 Which is the odd one out? (a) spotting spam (b) writing quiz questions (c) spotting a sick leaf (d) predicting rain
23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
25. 25.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
26. 26.Which of these helps reduce bias? (a) skip testing (b) check who is missing (c) add more of the same (d) use one group only
27. 27.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
28. 28.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) the trained program (d) the learned patterns
29. 29.True or false: “ask different people” adds to bias. (a) True (b) False
30. 30.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
31. 31.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
32. 32.Which of these is not AI? (a) a voice assistant (b) a microwave timer (c) a map predicting traffic (d) a spam filter
33. 33.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) ask it to repeat (c) guess (d) pick a lucky number
34. 34.True or false: a phone unlocking when it sees your face is AI recommending something. (a) True (b) False
35. 35.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
36. 36.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) turning speech to text (c) sorting photos by face (d) reading number plates
37. 37.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
38. 38.Which of these is the model? (a) what training builds (b) labelled fruit photos (c) old emails marked spam (d) naming a new fruit photo
39. 39.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
40. 40.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recognising (b) predicting (c) generating (d) recommending

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