AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 459 · 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.Which of these is not AI? (a) an image generator (b) video suggestions (c) an app translating signs (d) a microwave timer
2. 2.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) many labelled photos (d) a list of rules only
3. 3.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
4. 4.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) no, it finds patterns (d) yes, just like us
5. 5.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
7. 7.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
8. 8.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
9. 9.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) correct labels (d) blurry, unclear photos
10. 10.🔍 Which is the odd one out? (a) an image generator (b) a voice assistant (c) a kitchen weighing scale (d) an AI chatbot
11. 11.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
12. 12.🔍 Which is the odd one out? (a) turning speech to text (b) predicting rain (c) unlocking with a face (d) making up a story
13. 13.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
14. 14.Which of these is a myth about AI? (a) AI can make up facts (b) AI answers need checking (c) AI learns from data (d) AI always checks facts
15. 15.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
16. 16.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
17. 17.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) sleeping (c) singing (d) predicting
18. 18.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the textbook (c) share it online (d) trust the AI
19. 19.🤖 Who builds and trains AI systems? (a) people (b) nobody at all (c) the Moon (d) the weather
20. 20.Which of these describes how a normal program works? (a) makes a best guess (b) learns from examples (c) gives a likely answer (d) never learns from data
21. 21.🔍 Which is the odd one out? (a) composing a new tune (b) spotting spam (c) unlocking with a face (d) sorting photos by face
22. 22.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) labels added at random (d) examples of every type
23. 23.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
24. 24.🏷️ 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
25. 25.🔍 Which is the odd one out? (a) a stopwatch (b) a torch (c) video suggestions (d) a fan regulator
26. 26.Which of these is a fact about AI? (a) AI has real feelings (b) AI copies data patterns (c) AI knows everything (d) long answers are true
27. 27.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
28. 28.True or false: “write a poem about the monsoon” asks for an image. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) copy old unfair choices (d) balance the data
30. 30.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
31. 31.Which of these is training data? (a) past weather records (b) the trained program (c) tomorrow’s rain guess (d) the learned patterns
32. 32.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) past weather records (d) labelled fruit photos
33. 33.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
34. 34.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
35. 35.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a hallucination (d) a summary
36. 36.Which of these is good for training a model? (a) photos in many lights (b) testing on training data (c) wrong labels (d) copies of one photo
37. 37.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
38. 38.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) only one kind of example (d) checking labels twice
39. 39.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
40. 40.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will turn yellow (d) it will shut down

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