AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 321 · 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.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
2. 2.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
4. 4.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
5. 5.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) copy old unfair choices (d) use one group only
6. 6.🔍 Which is the odd one out? (a) spotting spam (b) unlocking with a face (c) predicting rain (d) creating a cartoon
7. 7.🔍 Which is the odd one out? (a) new data for testing (b) testing on training data (c) blurry, unclear photos (d) labels added at random
8. 8.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) add more of the same (d) ask different people
9. 9.Which of these is a fact about AI? (a) long answers are true (b) AI has real feelings (c) AI can be wrong (d) AI knows everything
10. 10.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
11. 11.✨ What does generative AI do? (a) makes new content (b) only stores files (c) only adds numbers (d) charges batteries
12. 12.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
13. 13.True or false: an AI tool making a brand-new tune is AI recognising something. (a) True (b) False
14. 14.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) making up a story (c) turning speech to text (d) sorting photos by face
15. 15.🏷️ 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
16. 16.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
17. 17.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) naming a new leaf (d) 500 labelled leaf photos
18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
19. 19.🔍 Which is the odd one out? (a) AI knows everything (b) AI has real feelings (c) AI copies data patterns (d) AI is never wrong
20. 20.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) text (b) an image (c) music or sound
21. 21.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
22. 22.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) correct labels (d) testing on training data
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
24. 24.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
25. 25.True or false: “confident means correct” is a myth about AI. (a) False (b) True
26. 26.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
27. 27.Which of these uses AI? (a) an AI chatbot (b) a torch (c) a doorbell (d) a light switch
28. 28.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) recognising (c) predicting (d) generating
29. 29.Which of these is good for training a model? (a) new data for testing (b) very few examples (c) copies of one photo (d) labels added at random
30. 30.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) predicting (c) generating (d) recognising
31. 31.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
32. 32.Which of these is not AI? (a) a light switch (b) face unlock on a phone (c) voice typing (d) a spam filter
33. 33.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) an image (c) music or sound
34. 34.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
35. 35.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
36. 36.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
37. 37.🔍 Which is the odd one out? (a) writing a new poem (b) unlocking with a face (c) drawing a new picture (d) composing a new tune
38. 38.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
39. 39.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
40. 40.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias

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