AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 940 · 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.📱 What is the AI doing here: a keyboard guessing your next word? (a) recommending (b) predicting (c) recognising (d) generating
2. 2.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
3. 3.Which of these uses AI? (a) a printed timetable (b) a kitchen weighing scale (c) a digital watch (d) a voice assistant
4. 4.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
5. 5.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
6. 6.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
7. 7.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
8. 8.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
10. 10.⏩ 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
11. 11.🏷️ 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
12. 12.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recognising (b) generating (c) predicting (d) recommending
13. 13.🧮 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
14. 14.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
16. 16.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
17. 17.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
19. 19.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
20. 20.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
21. 21.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) music or sound (b) text (c) an image
22. 22.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
23. 23.True or false: “find a trusted source” is a real way to check an AI answer. (a) True (b) False
24. 24.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
25. 25.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
26. 26.Which of these is a fact about AI? (a) AI is never wrong (b) long answers are true (c) AI can be wrong (d) AI always checks facts
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
28. 28.Which of these is bad for training a model? (a) many varied examples (b) correct labels (c) new data for testing (d) blurry, unclear photos
29. 29.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
30. 30.🔍 Which is the odd one out? (a) blurry, unclear photos (b) photos in many lights (c) new data for testing (d) correct labels
31. 31.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
32. 32.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
33. 33.Which of these describes how a normal program works? (a) does exactly as coded (b) handles unseen examples (c) gives a likely answer (d) makes a best guess
34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
35. 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) writing quiz questions (c) suggesting a video (d) drawing a new picture
36. 36.True or false: “many varied examples” is good for training a model. (a) False (b) True
37. 37.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
38. 38.True or false: “test on many groups” adds to bias. (a) False (b) True
39. 39.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
40. 40.Which of these is good for training a model? (a) labels added at random (b) only one kind of example (c) very few examples (d) many varied examples

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