AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 715 · 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.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
2. 2.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
3. 3.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
4. 4.🏠 AI or not AI: video suggestions? (a) not AI (b) uses AI
5. 5.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
6. 6.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
7. 7.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
8. 8.🔍 Which is the odd one out? (a) examples of every type (b) blurry, unclear photos (c) new data for testing (d) checking labels twice
9. 9.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
10. 10.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
11. 11.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) clear, sharp examples (d) blurry, unclear photos
12. 12.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
13. 13.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
14. 14.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
15. 15.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
16. 16.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
17. 17.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
18. 18.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a battery (d) a label
19. 19.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
20. 20.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
21. 21.True or false: “test on many groups” helps reduce bias. (a) False (b) True
22. 22.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
23. 23.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) clear, sharp examples (d) only one kind of example
24. 24.🔍 Which is the odd one out? (a) AI can mix up numbers (b) long answers are true (c) AI learns from data (d) AI copies data patterns
25. 25.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
26. 26.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) predicting (b) generating (c) recommending (d) recognising
27. 27.Which of these uses AI? (a) a fan regulator (b) a voice assistant (c) a calculator (d) a doorbell
28. 28.True or false: “the trained program” is a prediction. (a) False (b) True
29. 29.True or false: “naming a new fruit photo” is the model. (a) False (b) True
30. 30.Which of these is a fact about AI? (a) AI always checks facts (b) confident means correct (c) AI answers need checking (d) AI is never wrong
31. 31.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) ignore complaints (d) add varied examples
32. 32.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
33. 33.Which of these helps reduce bias? (a) balance the data (b) ignore complaints (c) use one group only (d) test on one group only
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
36. 36.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) recorded spoken words (d) what training builds
37. 37.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
38. 38.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) drawing a new picture (c) writing a new poem (d) turning speech to text
39. 39.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
40. 40.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False

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