AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 966 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
2. 2.Which of these is a myth about AI? (a) AI can make up facts (b) AI knows everything (c) AI can be wrong (d) AI answers need checking
3. 3.🔍 Which is the odd one out? (a) video suggestions (b) a stopwatch (c) a microwave timer (d) a digital watch
4. 4.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
5. 5.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) ask different people (d) use one group only
6. 6.Which of these uses AI? (a) a torch (b) a light switch (c) an app translating signs (d) a stopwatch
7. 7.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
8. 8.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
9. 9.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
10. 10.True or false: “AI always checks facts” is a fact about AI. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
12. 12.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
13. 13.True or false: “handles unseen examples” describes how a normal program works. (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) a calculator (b) a printed timetable (c) face unlock on a phone (d) a kitchen weighing scale
15. 15.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
17. 17.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
18. 18.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
20. 20.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
21. 21.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
22. 22.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) copy old unfair choices (d) check who is missing
23. 23.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
24. 24.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) clear, sharp examples (d) photos in many lights
25. 25.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) test on many groups (d) add more of the same
26. 26.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) spotting spam (c) making up a story (d) writing a new poem
27. 27.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
28. 28.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) recommending (c) predicting (d) recognising
29. 29.🤖 What does AI stand for? (a) actual information (b) artificial intelligence (c) app installer (d) automatic internet
30. 30.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
32. 32.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
33. 33.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
34. 34.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False
35. 35.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
36. 36.Which of these is not AI? (a) a microwave timer (b) a spam filter (c) voice typing (d) photos grouped by face
37. 37.🔍 Which is the odd one out? (a) AI learns from data (b) AI can make up facts (c) AI answers need checking (d) long answers are true
38. 38.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
39. 39.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) look in your textbook (c) guess (d) pick a lucky number
40. 40.True or false: “typing a new spoken word” is a prediction. (a) True (b) False

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