AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 875 · 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 is the odd one out? (a) drafting a letter (b) reading number plates (c) predicting rain (d) suggesting a video
2. 2.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the learned patterns (d) the trained program
3. 3.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
4. 4.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
5. 5.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
6. 6.🔍 Which is the odd one out? (a) inventing a recipe (b) drawing a new picture (c) drafting a letter (d) unlocking with a face
7. 7.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) ask different people (d) add varied examples
8. 8.Which of these adds to bias? (a) add varied examples (b) ask different people (c) test on many groups (d) add more of the same
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
10. 10.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
11. 11.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, it gets sad (c) yes, just like us (d) only on weekends
12. 12.True or false: “use one group only” helps reduce bias. (a) False (b) True
13. 13.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
14. 14.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
15. 15.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
16. 16.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) pick a lucky number (c) guess (d) look in your textbook
17. 17.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
19. 19.🔍 Which is the odd one out? (a) writing quiz questions (b) spotting spam (c) reading number plates (d) suggesting a video
20. 20.True or false: “a cheerful tune for Sports Day” asks for text. (a) True (b) False
21. 21.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
22. 22.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
23. 23.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
24. 24.Which of these is a myth about AI? (a) long answers are true (b) AI learns from data (c) AI copies data patterns (d) AI can be wrong
25. 25.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can be wrong (c) AI always checks facts (d) AI answers need checking
26. 26.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
27. 27.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
28. 28.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
29. 29.Which of these is generative AI (it makes something new)? (a) spotting spam (b) sorting photos by face (c) unlocking with a face (d) composing a new tune
30. 30.Which of these describes how AI works? (a) same steps every time (b) one set rule per case (c) follows fixed rules (d) handles unseen examples
31. 31.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
32. 32.True or false: “labels added at random” is bad for training a model. (a) False (b) True
33. 33.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
35. 35.True or false: “try the sum on paper” is a real way to check an AI answer. (a) False (b) True
36. 36.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
37. 37.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) only stores files (d) makes new content
38. 38.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
39. 39.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.True or false: “photos in many lights” is bad for training a model. (a) True (b) False

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