AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 859 · 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 a fact about AI? (a) AI always checks facts (b) confident means correct (c) long answers are true (d) AI learns from data
2. 2.📱 What is the AI doing here: a video app suggesting what to watch next? (a) predicting (b) recognising (c) recommending (d) generating
3. 3.Which of these is a fact about AI? (a) AI has real feelings (b) AI is never wrong (c) AI always checks facts (d) AI answers need checking
4. 4.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
5. 5.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
6. 6.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) ignore complaints
7. 7.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) typing a new spoken word (d) old emails marked spam
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
9. 9.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
11. 11.🔍 Which is the odd one out? (a) AI knows everything (b) long answers are true (c) AI copies data patterns (d) AI is never wrong
12. 12.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it is always right (d) it learns from examples
13. 13.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
15. 15.Which of these is good for training a model? (a) examples of every type (b) blurry, unclear photos (c) wrong labels (d) labels added at random
16. 16.✍️ How does an AI chatbot write its replies? (a) asks a person (b) predicts likely words (c) uses magic (d) copies one website
17. 17.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
19. 19.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
20. 20.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) ask different people (d) copy old unfair choices
21. 21.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
22. 22.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) AI can be wrong (b) AI always checks facts (c) AI answers need checking (d) AI can make up facts
24. 24.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
25. 25.True or false: “add more of the same” helps reduce bias. (a) True (b) False
26. 26.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
27. 27.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
28. 28.Which of these is not AI? (a) an AI chatbot (b) an app translating signs (c) a spam filter (d) a kitchen weighing scale
29. 29.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) many varied examples (d) labels added at random
30. 30.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) copy old unfair choices (d) test on one group only
31. 31.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
32. 32.🏠 AI or not AI: a printed timetable? (a) not AI (b) uses AI
33. 33.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
34. 34.True or false: “many varied examples” is bad for training a model. (a) True (b) False
35. 35.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) recognising (c) recommending (d) predicting
36. 36.Which of these is the model? (a) flagging a new email (b) past weather records (c) naming a new fruit photo (d) the learned patterns
37. 37.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
38. 38.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) creating a cartoon (c) predicting rain (d) reading number plates
39. 39.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
40. 40.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) only adds numbers (d) makes new content

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