AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 296 · 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 generative AI (it makes something new)? (a) spotting spam (b) reading number plates (c) inventing a recipe (d) sorting photos by face
2. 2.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) True (b) False
3. 3.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
4. 4.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
5. 5.Which of these describes how AI works? (a) handles unseen examples (b) never learns from data (c) follows fixed rules (d) does exactly as coded
6. 6.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) asks a person (d) predicts likely words
7. 7.Which of these is not AI? (a) a microwave timer (b) an image generator (c) an app translating signs (d) video suggestions
8. 8.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) drafting a letter (c) composing a new tune (d) predicting rain
9. 9.True or false: “AI copies data patterns” is a fact about AI. (a) True (b) False
10. 10.🎨 An image generator makes a picture from… (a) the weather (b) a text description (c) your password (d) a phone number
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
12. 12.🔍 Which is the odd one out? (a) sorting photos by face (b) predicting rain (c) inventing a recipe (d) suggesting a video
13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
14. 14.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) labels added at random (d) correct labels
15. 15.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) text (c) an image
16. 16.Which of these is not AI? (a) a light switch (b) video suggestions (c) an AI chatbot (d) photos grouped by face
17. 17.Which of these adds to bias? (a) test on many groups (b) balance the data (c) fix wrong labels (d) skip testing
18. 18.🔍 Which is the odd one out? (a) correct labels (b) photos in many lights (c) examples of every type (d) testing on training data
19. 19.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
20. 20.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
21. 21.True or false: “fix wrong labels” adds to bias. (a) True (b) False
22. 22.Which of these uses AI? (a) a digital watch (b) a light switch (c) a fan regulator (d) a spam filter
23. 23.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
24. 24.🔍 Which is the odd one out? (a) AI is never wrong (b) confident means correct (c) AI learns from data (d) AI knows everything
25. 25.True or false: “AI is never wrong” is a myth about AI. (a) False (b) True
26. 26.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
27. 27.True or false: “naming a new leaf” is a prediction. (a) True (b) False
28. 28.Which of these is good for training a model? (a) checking labels twice (b) testing on training data (c) only one kind of example (d) labels added at random
29. 29.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
30. 30.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
32. 32.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) ignore complaints (d) test on many groups
33. 33.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
34. 34.Which of these describes how a normal program works? (a) handles unseen examples (b) same steps every time (c) gives a likely answer (d) spots patterns in data
35. 35.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) False (b) True
36. 36.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
37. 37.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) cooking (d) recommending
38. 38.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
39. 39.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
40. 40.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training

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