AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 407 · 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: “clear, sharp examples” is bad for training a model. (a) True (b) False
2. 2.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) labels added at random (d) examples of every type
3. 3.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) writing a new poem (c) drawing a new picture (d) suggesting a video
4. 4.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
5. 5.🔍 Which is the odd one out? (a) drawing a new picture (b) creating a cartoon (c) composing a new tune (d) reading number plates
6. 6.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
7. 7.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
8. 8.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) learn from data (d) print pages
9. 9.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) turning speech to text (c) unlocking with a face (d) making up a story
10. 10.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
11. 11.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) predicts likely words (d) uses magic
12. 12.🔍 Which is the odd one out? (a) AI can be wrong (b) AI is never wrong (c) AI has real feelings (d) AI always checks facts
13. 13.Which of these is bad for training a model? (a) clear, sharp examples (b) only one kind of example (c) checking labels twice (d) correct labels
14. 14.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
15. 15.True or false: “never learns from data” describes how AI works. (a) True (b) False
16. 16.True or false: “very few examples” is good for training a model. (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) an app translating signs (b) a voice assistant (c) photos grouped by face (d) a doorbell
18. 18.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
19. 19.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
20. 20.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
21. 21.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
22. 22.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
23. 23.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
24. 24.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) correct labels (d) wrong labels
26. 26.True or false: “a story about a brave ant” asks for text. (a) False (b) True
27. 27.True or false: “recorded spoken words” is a prediction. (a) True (b) False
28. 28.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
29. 29.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) artificial intelligence (d) app installer
30. 30.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
31. 31.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it can think (c) no, it follows rules (d) yes, it is smart
32. 32.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) drawing a new picture (c) sorting photos by face (d) drafting a letter
33. 33.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) ask different people (d) test on one group only
34. 34.Which of these is good for training a model? (a) many varied examples (b) testing on training data (c) very few examples (d) only one kind of example
35. 35.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
36. 36.Which of these adds to bias? (a) test on many groups (b) ask different people (c) copy old unfair choices (d) check who is missing
37. 37.Which of these describes how AI works? (a) follows fixed rules (b) handles unseen examples (c) same steps every time (d) one set rule per case
38. 38.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
39. 39.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) music or sound (c) text
40. 40.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program

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