AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 915 · 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 helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) balance the data (d) skip testing
2. 2.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
5. 5.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI always checks facts (d) AI can be wrong
6. 6.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) actual information (d) automatic internet
7. 7.Which of these describes how AI works? (a) learns from examples (b) does exactly as coded (c) follows fixed rules (d) never learns from data
8. 8.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
9. 9.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
10. 10.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) 500 labelled leaf photos (d) typing a new spoken word
11. 11.🔍 Which is the odd one out? (a) unlocking with a face (b) making up a story (c) spotting spam (d) spotting a sick leaf
12. 12.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
13. 13.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) stop studying (d) share it online
14. 14.True or false: “test on many groups” helps reduce bias. (a) False (b) True
15. 15.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recognising (c) generating (d) recommending
16. 16.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
17. 17.🔍 Which is the odd one out? (a) creating a cartoon (b) suggesting a video (c) spotting spam (d) turning speech to text
18. 18.🔍 Which is the odd one out? (a) AI can be wrong (b) AI learns from data (c) AI has real feelings (d) AI can mix up numbers
19. 19.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) ask it to repeat (c) look in your textbook (d) guess
20. 20.🔍 Which is the odd one out? (a) reading number plates (b) suggesting a video (c) predicting rain (d) drawing a new picture
21. 21.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) charge faster (d) clean screens
22. 22.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will shut down (d) it will be perfect
23. 23.True or false: “flagging a new email” is training data. (a) True (b) False
24. 24.True or false: “improves with more data” describes how AI works. (a) False (b) True
25. 25.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
26. 26.✨ What does generative AI do? (a) only stores files (b) charges batteries (c) makes new content (d) only adds numbers
27. 27.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
28. 28.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
29. 29.Which of these is the model? (a) old emails marked spam (b) past weather records (c) naming a new leaf (d) the learned patterns
30. 30.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
31. 31.True or false: “testing on training data” is bad for training a model. (a) True (b) False
32. 32.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
33. 33.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
34. 34.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
35. 35.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
36. 36.🔍 Which is the odd one out? (a) photos grouped by face (b) a voice assistant (c) a stopwatch (d) voice typing
37. 37.Which of these is a fact about AI? (a) long answers are true (b) AI copies data patterns (c) confident means correct (d) AI is never wrong
38. 38.Which of these adds to bias? (a) test on many groups (b) use one group only (c) ask different people (d) check who is missing
39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
40. 40.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) recorded spoken words (d) what training builds

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