AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 71 · 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.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
2. 2.Which of these is bad for training a model? (a) correct labels (b) only one kind of example (c) photos in many lights (d) examples of every type
3. 3.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
4. 4.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
5. 5.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
6. 6.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
7. 7.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) many varied examples (d) very few examples
8. 8.🔍 Which is the odd one out? (a) inventing a recipe (b) predicting rain (c) unlocking with a face (d) reading number plates
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
10. 10.🔍 Which is the odd one out? (a) a stopwatch (b) face unlock on a phone (c) a fan regulator (d) a calculator
11. 11.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
12. 12.True or false: “a cartoon of a dancing elephant” asks for an image. (a) True (b) False
13. 13.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
14. 14.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
15. 15.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) True (b) False
16. 16.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
17. 17.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.Which of these is not AI? (a) an image generator (b) a doorbell (c) a map predicting traffic (d) an app translating signs
19. 19.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
20. 20.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) very few examples (d) new data for testing
21. 21.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) makes a best guess (d) one set rule per case
22. 22.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
23. 23.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) test on many groups (d) copy old unfair choices
24. 24.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI copies data patterns (d) AI always checks facts
25. 25.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
26. 26.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
27. 27.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
28. 28.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
29. 29.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
30. 30.🏷️ 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
31. 31.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
32. 32.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it can think (c) yes, it is smart (d) only at night
33. 33.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) new data for testing (b) clear, sharp examples (c) photos in many lights (d) wrong labels
35. 35.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
36. 36.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) new data for testing (d) copies of one photo
38. 38.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
39. 39.🔍 Which is the odd one out? (a) sorting photos by face (b) suggesting a video (c) turning speech to text (d) drawing a new picture
40. 40.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) turning speech to text (c) spotting a sick leaf (d) writing a new poem

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