AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 44 · 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 of these is good for training a model? (a) copies of one photo (b) correct labels (c) only one kind of example (d) testing on training data
2. 2.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) follows fixed rules (d) learns from examples
3. 3.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
4. 4.🏷️ 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
5. 5.🔍 Which is the odd one out? (a) an app translating signs (b) a stopwatch (c) photos grouped by face (d) an AI chatbot
6. 6.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
7. 7.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
8. 8.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
9. 9.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
10. 10.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) skip testing (d) add more of the same
11. 11.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
12. 12.Which of these describes how AI works? (a) uses rules people wrote (b) spots patterns in data (c) same steps every time (d) one set rule per case
13. 13.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) add more of the same (d) use one group only
14. 14.Which of these is AI that sorts, spots or predicts (not generative)? (a) sorting photos by face (b) drafting a letter (c) making up a story (d) writing quiz questions
15. 15.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
16. 16.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
17. 17.True or false: “one set rule per case” describes how AI works. (a) True (b) False
18. 18.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
19. 19.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) a basic calculator (d) voice typing
20. 20.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a backup (c) a summary (d) a password
21. 21.True or false: “old emails marked spam” is a prediction. (a) True (b) False
22. 22.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) one set rule per case (d) spots patterns in data
23. 23.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
24. 24.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
25. 25.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
26. 26.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
27. 27.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
28. 28.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
29. 29.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) follows fixed rules (d) makes a best guess
30. 30.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) new data for testing (b) very few examples (c) blurry, unclear photos (d) testing on training data
32. 32.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
33. 33.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
34. 34.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
35. 35.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
37. 37.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) the weather (d) people
38. 38.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can mix up numbers (c) AI knows everything (d) AI can be wrong
39. 39.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) recognising (c) predicting (d) recommending
40. 40.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI

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