AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 465 · 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.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
2. 2.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
4. 4.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) skip testing (d) copy old unfair choices
5. 5.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a hallucination (c) a password (d) a backup
6. 6.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
7. 7.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
8. 8.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
9. 9.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
10. 10.True or false: “photos in many lights” is good for training a model. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
12. 12.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
13. 13.Which of these is the model? (a) tomorrow’s rain guess (b) typing a new spoken word (c) the learned patterns (d) naming a new fruit photo
14. 14.🔍 Which is the odd one out? (a) checking labels twice (b) photos in many lights (c) only one kind of example (d) clear, sharp examples
15. 15.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
17. 17.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
18. 18.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) recognising (c) predicting (d) recommending
19. 19.🔍 Which is the odd one out? (a) correct labels (b) testing on training data (c) many varied examples (d) photos in many lights
20. 20.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
21. 21.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) typing a new spoken word (d) old emails marked spam
22. 22.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) ask different people (d) add varied examples
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
24. 24.🔍 Which is the odd one out? (a) an image generator (b) a digital watch (c) a calculator (d) a light switch
25. 25.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
26. 26.True or false: “a drum beat for a dance” asks for an image. (a) False (b) True
27. 27.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
28. 28.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
29. 29.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it learns from examples (d) it is always right
30. 30.True or false: “many varied examples” is good for training a model. (a) True (b) False
31. 31.Which of these is AI that sorts, spots or predicts (not generative)? (a) unlocking with a face (b) drawing a new picture (c) making up a story (d) drafting a letter
32. 32.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
33. 33.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) flagging a new email (d) what training builds
34. 34.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
35. 35.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) the Moon (d) nobody at all
36. 36.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) blurry, unclear photos (d) many varied examples
37. 37.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
38. 38.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
39. 39.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will shut down (d) it will be perfect
40. 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias

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