AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 743 · 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 of these is generative AI (it makes something new)? (a) creating a cartoon (b) reading number plates (c) sorting photos by face (d) spotting spam
2. 2.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
3. 3.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
5. 5.Which of these is good for training a model? (a) testing on training data (b) examples of every type (c) blurry, unclear photos (d) labels added at random
6. 6.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) sorting photos by face (c) composing a new tune (d) creating a cartoon
7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
8. 8.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it is always right (d) it has a screen
9. 9.True or false: “test on many groups” helps reduce bias. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
11. 11.Which of these is bad for training a model? (a) blurry, unclear photos (b) new data for testing (c) correct labels (d) examples of every type
12. 12.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
13. 13.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
14. 14.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
15. 15.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
16. 16.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) flagging a new email (d) old emails marked spam
17. 17.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) never do maths (c) check it on paper (d) copy it straight away
18. 18.🔍 Which is the odd one out? (a) making up a story (b) drawing a new picture (c) spotting spam (d) drafting a letter
19. 19.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
20. 20.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) a song about dogs (d) one single photo
21. 21.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
22. 22.Which of these is a fact about AI? (a) AI always checks facts (b) AI can be wrong (c) long answers are true (d) AI is never wrong
23. 23.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
24. 24.Which of these adds to bias? (a) check who is missing (b) copy old unfair choices (c) add varied examples (d) test on many groups
25. 25.🔍 Which is the odd one out? (a) a fan regulator (b) a voice assistant (c) a calculator (d) a digital watch
26. 26.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) recommending (c) generating (d) predicting
27. 27.True or false: “correct labels” is good for training a model. (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) checking labels twice (d) very few examples
29. 29.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) check who is missing (d) copy old unfair choices
30. 30.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
32. 32.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the font size (d) the right answer tag
33. 33.🔍 Which is the odd one out? (a) suggesting a video (b) making up a story (c) drafting a letter (d) writing a new poem
34. 34.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) False (b) True
35. 35.🤖 Who builds and trains AI systems? (a) the Moon (b) nobody at all (c) the weather (d) people
36. 36.True or false: “rain sound effects for a play” asks for text. (a) False (b) True
37. 37.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
38. 38.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
39. 39.Which of these is not AI? (a) a doorbell (b) video suggestions (c) photos grouped by face (d) face unlock on a phone
40. 40.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text

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