AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 326 · 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) confident means correct (b) AI knows everything (c) AI is never wrong (d) AI can be wrong
2. 2.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) voice typing (d) a spam filter
3. 3.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
4. 4.True or false: “makes a best guess” describes how AI works. (a) False (b) True
5. 5.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) music or sound (c) an image
6. 6.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) learn from data (d) charge faster
7. 7.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
8. 8.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
10. 10.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
11. 11.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
12. 12.Which of these is good for training a model? (a) only one kind of example (b) checking labels twice (c) labels added at random (d) copies of one photo
13. 13.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
14. 14.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on one group only (d) check who is missing
15. 15.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
16. 16.🔍 Which is the odd one out? (a) a fan regulator (b) voice typing (c) photos grouped by face (d) an AI chatbot
17. 17.Which of these is a fact about AI? (a) AI is never wrong (b) AI has real feelings (c) confident means correct (d) AI answers need checking
18. 18.🔍 Which is the odd one out? (a) only one kind of example (b) testing on training data (c) new data for testing (d) blurry, unclear photos
19. 19.🔍 Which is the odd one out? (a) clear, sharp examples (b) blurry, unclear photos (c) many varied examples (d) new data for testing
20. 20.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.Which of these is bad for training a model? (a) examples of every type (b) copies of one photo (c) clear, sharp examples (d) checking labels twice
22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
23. 23.Which of these helps reduce bias? (a) test on many groups (b) skip testing (c) add more of the same (d) test on one group only
24. 24.True or false: “wrong labels” is good for training a model. (a) True (b) False
25. 25.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
26. 26.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) the Moon (d) people
27. 27.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
28. 28.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
29. 29.True or false: “add varied examples” helps reduce bias. (a) False (b) True
30. 30.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
31. 31.Which of these uses AI? (a) a digital watch (b) a light switch (c) a doorbell (d) a voice assistant
32. 32.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can be wrong (c) AI has real feelings (d) AI copies data patterns
33. 33.True or false: “recorded spoken words” is training data. (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) AI can make up facts (b) AI learns from data (c) AI can be wrong (d) long answers are true
35. 35.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
36. 36.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) predicting (c) recommending (d) recognising
37. 37.🏷️ 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
38. 38.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it has a screen (d) it is always right
39. 39.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) old emails marked spam (d) past weather records
40. 40.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts

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