AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 519 · 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.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
3. 3.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
4. 4.🧪 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
5. 5.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) many labelled photos (d) a song about dogs
6. 6.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
7. 7.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
8. 8.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
9. 9.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) True (b) False
10. 10.Which of these is good for training a model? (a) blurry, unclear photos (b) correct labels (c) very few examples (d) wrong labels
11. 11.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
12. 12.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) spotting spam (c) drafting a letter (d) reading number plates
13. 13.🏷️ 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
14. 14.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
15. 15.True or false: “find a trusted source” is a real way to check an AI answer. (a) True (b) False
16. 16.True or false: “a drawing of a cat on the Moon” asks for an image. (a) False (b) True
17. 17.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
19. 19.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
20. 20.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) text (c) an image
21. 21.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
22. 22.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) recommending (c) generating (d) predicting
23. 23.Which of these is a myth about AI? (a) AI is never wrong (b) AI can be wrong (c) AI copies data patterns (d) AI answers need checking
24. 24.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) balance the data
25. 25.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
26. 26.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
27. 27.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) test on one group only (d) ignore complaints
28. 28.True or false: “AI is never wrong” is a myth about AI. (a) True (b) False
29. 29.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
30. 30.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) what training builds (d) typing a new spoken word
31. 31.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
32. 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
33. 33.Which of these adds to bias? (a) ignore complaints (b) fix wrong labels (c) check who is missing (d) balance the data
34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
35. 35.True or false: a music app suggesting a song you may like is AI recognising something. (a) True (b) False
36. 36.Which of these is a fact about AI? (a) AI always checks facts (b) AI learns from data (c) AI is never wrong (d) AI has real feelings
37. 37.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
38. 38.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
39. 39.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
40. 40.True or false: “ask different people” adds to bias. (a) False (b) True

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