AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 630 · 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: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
2. 2.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
3. 3.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) writing a new poem (c) unlocking with a face (d) inventing a recipe
4. 4.Which of these describes how AI works? (a) same steps every time (b) learns from examples (c) one set rule per case (d) does exactly as coded
5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
6. 6.True or false: a phone unlocking when it sees your face is AI generating something new. (a) True (b) False
7. 7.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
8. 8.Which of these is good for training a model? (a) testing on training data (b) checking labels twice (c) copies of one photo (d) labels added at random
9. 9.True or false: “wrong labels” is good for training a model. (a) False (b) True
10. 10.Which of these adds to bias? (a) balance the data (b) add varied examples (c) test on many groups (d) add more of the same
11. 11.Which of these uses AI? (a) a doorbell (b) a voice assistant (c) a digital watch (d) a fan regulator
12. 12.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
13. 13.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
14. 14.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
16. 16.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
17. 17.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
18. 18.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
19. 19.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
20. 20.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
21. 21.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
22. 22.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
23. 23.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will turn yellow (d) it will be perfect
24. 24.True or false: “fix wrong labels” adds to bias. (a) False (b) True
25. 25.True or false: a keyboard guessing your next word is AI generating something new. (a) True (b) False
26. 26.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) text (c) music or sound
27. 27.🔍 Which is the odd one out? (a) labels added at random (b) only one kind of example (c) blurry, unclear photos (d) correct labels
28. 28.🔍 Which is the odd one out? (a) inventing a recipe (b) composing a new tune (c) drawing a new picture (d) turning speech to text
29. 29.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) yes, just like us (d) no, it finds patterns
30. 30.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) old emails marked spam (d) flagging a new email
31. 31.True or false: “rain sound effects for a play” asks for an image. (a) False (b) True
32. 32.True or false: “old emails marked spam” is the model. (a) True (b) False
33. 33.True or false: “skip testing” helps reduce bias. (a) False (b) True
34. 34.True or false: “ask different people” helps reduce bias. (a) False (b) True
35. 35.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
36. 36.True or false: “gives a likely answer” describes how a normal program works. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) clear, sharp examples (b) photos in many lights (c) testing on training data (d) many varied examples
38. 38.Which of these is a myth about AI? (a) AI can be wrong (b) AI can mix up numbers (c) AI knows everything (d) AI answers need checking
39. 39.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) ask different people (d) add more of the same
40. 40.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) balance the data (d) ask different people

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students