AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 838 · 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.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) clean screens (d) print pages
2. 2.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) clear, sharp examples (d) blurry, unclear photos
3. 3.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
4. 4.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it learns from examples (d) it uses electricity
5. 5.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
6. 6.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
7. 7.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
8. 8.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
10. 10.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
11. 11.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
12. 12.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) True (b) False
13. 13.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
14. 14.True or false: “ask different people” adds to bias. (a) True (b) False
15. 15.🏷️ 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
16. 16.Which of these adds to bias? (a) test on many groups (b) ask different people (c) check who is missing (d) add more of the same
17. 17.True or false: “skip testing” helps reduce bias. (a) False (b) True
18. 18.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
19. 19.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) labels added at random (d) new data for testing
20. 20.True or false: “never learns from data” describes how AI works. (a) False (b) True
21. 21.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
22. 22.✨ What does generative AI do? (a) charges batteries (b) makes new content (c) only stores files (d) only adds numbers
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
24. 24.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
25. 25.🔍 Which is the odd one out? (a) clear, sharp examples (b) very few examples (c) only one kind of example (d) wrong labels
26. 26.Which of these describes how a normal program works? (a) improves with more data (b) handles unseen examples (c) makes a best guess (d) never learns from data
27. 27.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
28. 28.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
29. 29.Which of these is good for training a model? (a) correct labels (b) blurry, unclear photos (c) very few examples (d) labels added at random
30. 30.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) suggesting a video (c) turning speech to text (d) creating a cartoon
31. 31.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) nobody at all (d) the Moon
32. 32.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
33. 33.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) check who is missing (d) add varied examples
34. 34.True or false: “photos in many lights” is good for training a model. (a) True (b) False
35. 35.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
36. 36.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) the trained program (d) recorded spoken words
37. 37.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
38. 38.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) copy it straight away (c) ask it to hurry (d) check it on paper
40. 40.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI

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