AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 894 · 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 bad for training a model? (a) many varied examples (b) labels added at random (c) examples of every type (d) checking labels twice
2. 2.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
3. 3.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, just like us (d) yes, it gets sad
4. 4.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) copy old unfair choices (d) fix wrong labels
5. 5.True or false: “asking the same AI again” is a real way to check an AI answer. (a) False (b) True
6. 6.Which of these describes how AI works? (a) same steps every time (b) learns from examples (c) uses rules people wrote (d) follows fixed rules
7. 7.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
8. 8.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
9. 9.🔍 Which is the odd one out? (a) video suggestions (b) voice typing (c) a calculator (d) an app translating signs
10. 10.🔍 Which is the odd one out? (a) inventing a recipe (b) predicting rain (c) composing a new tune (d) drawing a new picture
11. 11.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) False (b) True
12. 12.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) pick a lucky number (c) look in your textbook (d) guess
13. 13.True or false: “never learns from data” describes how AI works. (a) True (b) False
14. 14.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) creating a cartoon (c) unlocking with a face (d) writing a new poem
15. 15.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
16. 16.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) blurry, unclear photos (b) very few examples (c) only one kind of example (d) examples of every type
18. 18.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new leaf
19. 19.🔍 Which is the odd one out? (a) reading number plates (b) writing a new poem (c) writing quiz questions (d) drawing a new picture
20. 20.True or false: “use one group only” adds to bias. (a) False (b) True
21. 21.⏩ 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
22. 22.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) app installer (d) actual information
23. 23.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
24. 24.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
26. 26.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
27. 27.True or false: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
29. 29.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) charge faster (d) clean screens
30. 30.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
31. 31.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
32. 32.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
33. 33.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
34. 34.Which of these is a myth about AI? (a) AI can be wrong (b) AI answers need checking (c) AI can make up facts (d) AI is never wrong
35. 35.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
36. 36.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False
37. 37.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) generating (c) recognising (d) recommending
38. 38.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) text (b) music or sound (c) an image
39. 39.🔍 Which is the odd one out? (a) long answers are true (b) AI can be wrong (c) AI is never wrong (d) AI always checks facts
40. 40.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) an image (b) music or sound (c) text

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