AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 196 · 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) checking labels twice (b) correct labels (c) very few examples (d) examples of every type
2. 2.🤖 What does AI stand for? (a) artificial intelligence (b) actual information (c) automatic internet (d) app installer
3. 3.🔍 Which is the odd one out? (a) a map predicting traffic (b) a kitchen weighing scale (c) a doorbell (d) a digital watch
4. 4.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) singing (c) drawing (d) predicting
5. 5.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
6. 6.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
7. 7.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
8. 8.True or false: a car camera reading a speed sign is AI generating something new. (a) False (b) True
9. 9.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
10. 10.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
11. 11.🔍 Which is the odd one out? (a) examples of every type (b) blurry, unclear photos (c) copies of one photo (d) only one kind of example
12. 12.True or false: “long answers are true” is a myth about AI. (a) False (b) True
13. 13.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
14. 14.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) inventing a recipe (c) unlocking with a face (d) writing quiz questions
16. 16.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) test on one group only (d) fix wrong labels
17. 17.🏷️ 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
18. 18.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) typing a new spoken word (d) 500 labelled leaf photos
19. 19.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
20. 20.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) an image (b) music or sound (c) text
21. 21.True or false: “it is long and detailed” is a real way to check an AI answer. (a) True (b) False
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
23. 23.Which of these uses AI? (a) a torch (b) a light switch (c) a spam filter (d) a calculator
24. 24.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) predicting (b) generating (c) recommending (d) recognising
25. 25.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
26. 26.🔍 Which is the odd one out? (a) AI answers need checking (b) AI knows everything (c) AI can be wrong (d) AI learns from data
27. 27.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
28. 28.🔍 Which is the odd one out? (a) a microwave timer (b) a torch (c) a stopwatch (d) face unlock on a phone
29. 29.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
30. 30.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
31. 31.Which of these is bad for training a model? (a) examples of every type (b) copies of one photo (c) many varied examples (d) new data for testing
32. 32.Which of these is a fact about AI? (a) AI is never wrong (b) AI can mix up numbers (c) long answers are true (d) AI always checks facts
33. 33.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
34. 34.True or false: “uses rules people wrote” describes how a normal program works. (a) False (b) True
35. 35.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) testing on training data (d) photos in many lights
36. 36.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
37. 37.Which of these is the model? (a) the trained program (b) naming a new leaf (c) old emails marked spam (d) typing a new spoken word
38. 38.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
39. 39.Which of these is good for training a model? (a) wrong labels (b) correct labels (c) blurry, unclear photos (d) very few examples
40. 40.Which of these adds to bias? (a) add varied examples (b) ask different people (c) balance the data (d) ignore complaints

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