AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 643 · 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 describes how a normal program works? (a) gives a likely answer (b) improves with more data (c) never learns from data (d) handles unseen examples
2. 2.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) test on many groups (d) skip testing
3. 3.Which of these is not AI? (a) a spam filter (b) an app translating signs (c) a calculator (d) a voice assistant
4. 4.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
5. 5.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) copy old unfair choices (d) ask different people
6. 6.🎨 An image generator makes a picture from… (a) the weather (b) your password (c) a phone number (d) a text description
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
8. 8.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) add more of the same (d) test on one group only
9. 9.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
10. 10.True or false: “naming a new fruit photo” is the model. (a) False (b) True
11. 11.🏷️ 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
12. 12.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
13. 13.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
14. 14.Which of these describes how AI works? (a) does exactly as coded (b) uses rules people wrote (c) never learns from data (d) improves with more data
15. 15.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) balance the data (d) ask different people
17. 17.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
18. 18.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
19. 19.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) text (c) an image
20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
21. 21.🔍 Which is the odd one out? (a) AI always checks facts (b) confident means correct (c) long answers are true (d) AI can be wrong
22. 22.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
23. 23.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) past weather records (d) naming a new leaf
24. 24.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) AI knows everything (b) AI has real feelings (c) AI can make up facts (d) long answers are true
26. 26.Which of these is a fact about AI? (a) AI knows everything (b) AI always checks facts (c) AI answers need checking (d) long answers are true
27. 27.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
28. 28.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
29. 29.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) spots patterns in data (d) uses rules people wrote
30. 30.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
31. 31.Which of these is a myth about AI? (a) AI is never wrong (b) AI learns from data (c) AI can mix up numbers (d) AI can be wrong
32. 32.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
33. 33.🏷️ 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
34. 34.Which of these is good for training a model? (a) correct labels (b) copies of one photo (c) blurry, unclear photos (d) wrong labels
35. 35.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) actual information (d) automatic internet
36. 36.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
37. 37.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
39. 39.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
40. 40.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI

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