AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 764 · 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 a sick leaf (b) sorting photos by face (c) composing a new tune (d) spotting spam
2. 2.True or false: “a story about a brave ant” asks for an image. (a) True (b) False
3. 3.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
4. 4.🤖 Who builds and trains AI systems? (a) people (b) nobody at all (c) the weather (d) the Moon
5. 5.True or false: “fix wrong labels” adds to bias. (a) True (b) False
6. 6.🛠️ Which does this job need: sorting names in A to Z order? (a) a simple rule is enough (b) needs AI (learning)
7. 7.Which of these describes how AI works? (a) never learns from data (b) gives a likely answer (c) does exactly as coded (d) uses rules people wrote
8. 8.Which of these adds to bias? (a) test on many groups (b) ignore complaints (c) fix wrong labels (d) add varied examples
9. 9.Which of these describes how AI works? (a) does exactly as coded (b) handles unseen examples (c) one set rule per case (d) follows fixed rules
10. 10.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) many varied examples (d) only one kind of example
11. 11.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
12. 12.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) the trained program (d) flagging a new email
13. 13.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) check who is missing (d) use one group only
14. 14.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) sorting photos by face (c) reading number plates (d) making up a story
15. 15.True or false: “it sounds very sure” is a real way to check an AI answer. (a) True (b) False
16. 16.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
17. 17.🔍 Which is the odd one out? (a) drafting a letter (b) composing a new tune (c) writing a new poem (d) reading number plates
18. 18.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the font size (d) the price
19. 19.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
20. 20.Which of these is bad for training a model? (a) blurry, unclear photos (b) correct labels (c) photos in many lights (d) clear, sharp examples
21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
22. 22.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) music or sound (c) an image
23. 23.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
24. 24.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
25. 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) composing a new tune (c) turning speech to text (d) creating a cartoon
26. 26.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
27. 27.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it uses electricity (d) it is always right
28. 28.🔍 Which is the odd one out? (a) creating a cartoon (b) making up a story (c) suggesting a video (d) composing a new tune
29. 29.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
30. 30.True or false: “ignore complaints” adds to bias. (a) True (b) False
31. 31.📅 An AI gives a date for a history event. How can you check? (a) guess (b) pick a lucky number (c) look in your textbook (d) ask it to repeat
32. 32.True or false: “labels added at random” is good for training a model. (a) False (b) True
33. 33.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
34. 34.Which of these is a prediction? (a) typing a new spoken word (b) the trained program (c) old emails marked spam (d) 500 labelled leaf photos
35. 35.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
36. 36.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
37. 37.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) inventing a recipe (c) spotting spam (d) sorting photos by face
38. 38.Which of these is bad for training a model? (a) examples of every type (b) testing on training data (c) many varied examples (d) clear, sharp examples
39. 39.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
40. 40.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) True (b) False

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