AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 505 · 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: “redo the maths yourself” is a real way to check an AI answer. (a) True (b) False
2. 2.Which of these uses AI? (a) a light switch (b) a doorbell (c) a stopwatch (d) photos grouped by face
3. 3.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
4. 4.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
5. 5.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
6. 6.True or false: “AI can mix up numbers” is a fact about AI. (a) False (b) True
7. 7.Which of these helps reduce bias? (a) use one group only (b) fix wrong labels (c) copy old unfair choices (d) ignore complaints
8. 8.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
9. 9.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
10. 10.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
11. 11.Which of these is training data? (a) past weather records (b) the trained program (c) what training builds (d) the learned patterns
12. 12.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) check who is missing (d) skip testing
13. 13.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
14. 14.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) an image (c) music or sound
15. 15.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the price (d) the right answer tag
16. 16.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
17. 17.True or false: “AI can make up facts” is a myth about AI. (a) True (b) False
18. 18.True or false: “recorded spoken words” is training data. (a) True (b) False
19. 19.True or false: “labelled fruit photos” is training data. (a) False (b) True
20. 20.True or false: an AI chatbot writing a story about a lost kite is AI predicting something. (a) True (b) False
21. 21.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
22. 22.🤖 Who builds and trains AI systems? (a) people (b) nobody at all (c) the weather (d) the Moon
23. 23.🔍 Which is the odd one out? (a) an app translating signs (b) a fan regulator (c) an image generator (d) face unlock on a phone
24. 24.True or false: “skip testing” adds to bias. (a) True (b) False
25. 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) spotting a sick leaf (c) drafting a letter (d) drawing a new picture
26. 26.Which of these is a prediction? (a) what training builds (b) the trained program (c) naming a new leaf (d) old emails marked spam
27. 27.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recommending (b) generating (c) recognising (d) predicting
28. 28.True or false: “correct labels” is bad for training a model. (a) False (b) True
29. 29.Which of these is a fact about AI? (a) AI can make up facts (b) AI knows everything (c) AI always checks facts (d) AI is never wrong
30. 30.🔍 Which is the odd one out? (a) a torch (b) a calculator (c) a microwave timer (d) an image generator
31. 31.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
32. 32.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
33. 33.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) only one kind of example (d) clear, sharp examples
34. 34.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
35. 35.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
38. 38.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
39. 39.Which of these is not AI? (a) a fan regulator (b) a spam filter (c) a map predicting traffic (d) a voice assistant
40. 40.Which of these describes how AI works? (a) learns from examples (b) follows fixed rules (c) uses rules people wrote (d) same steps every time

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