AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 270 · 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: a camera app naming the flower you point at is AI recommending something. (a) True (b) False
2. 2.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
3. 3.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) skip testing (d) use one group only
4. 4.Which of these is a fact about AI? (a) AI is never wrong (b) long answers are true (c) AI answers need checking (d) AI has real feelings
5. 5.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
6. 6.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
7. 7.True or false: a car camera reading a speed sign is AI predicting something. (a) False (b) True
8. 8.🏷️ 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
9. 9.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
10. 10.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
11. 11.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
12. 12.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
13. 13.🔍 Which is the odd one out? (a) drafting a letter (b) reading number plates (c) spotting a sick leaf (d) unlocking with a face
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
15. 15.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
16. 16.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
17. 17.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) ask it to hurry (c) never do maths (d) copy it straight away
18. 18.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
19. 19.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
20. 20.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) unlocking with a face (d) making up a story
21. 21.True or false: “recorded spoken words” is training data. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) test on one group only (d) use one group only
23. 23.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
24. 24.True or false: a weather app guessing tomorrow’s rain is AI generating something new. (a) True (b) False
25. 25.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
26. 26.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
27. 27.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
28. 28.Which of these is a fact about AI? (a) AI always checks facts (b) confident means correct (c) AI learns from data (d) AI is never wrong
29. 29.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
31. 31.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI can mix up numbers (d) AI knows everything
32. 32.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
33. 33.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
34. 34.Which of these describes how a normal program works? (a) learns from examples (b) gives a likely answer (c) uses rules people wrote (d) makes a best guess
35. 35.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) composing a new tune (c) unlocking with a face (d) spotting spam
36. 36.📱 What is the AI doing here: turning your spoken words into typed text? (a) recognising (b) predicting (c) recommending (d) generating
37. 37.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
38. 38.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
39. 39.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
40. 40.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no

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