AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 646 · 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.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
2. 2.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) text (b) an image (c) music or sound
3. 3.🔍 Which is the odd one out? (a) a digital watch (b) a torch (c) a calculator (d) an AI chatbot
4. 4.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
6. 6.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) the weather (d) people
7. 7.Which of these is not AI? (a) a spam filter (b) a printed timetable (c) an image generator (d) a voice assistant
8. 8.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
9. 9.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
10. 10.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
11. 11.True or false: “it has a neat layout” is a real way to check an AI answer. (a) True (b) False
12. 12.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) only one kind of example (d) clear, sharp examples
13. 13.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) drafting a letter (c) spotting a sick leaf (d) unlocking with a face
14. 14.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
15. 15.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
16. 16.Which of these is a fact about AI? (a) confident means correct (b) AI can be wrong (c) AI knows everything (d) AI always checks facts
17. 17.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
18. 18.Which of these is bad for training a model? (a) correct labels (b) testing on training data (c) many varied examples (d) checking labels twice
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
20. 20.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
21. 21.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
22. 22.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
23. 23.🔍 Which is the odd one out? (a) many varied examples (b) new data for testing (c) examples of every type (d) wrong labels
24. 24.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
25. 25.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
26. 26.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
27. 27.True or false: “a thank-you note to the bus driver” asks for an image. (a) True (b) False
28. 28.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
29. 29.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
30. 30.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
31. 31.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) follows fixed rules (d) gives a likely answer
32. 32.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
33. 33.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
34. 34.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) what training builds (d) naming a new leaf
35. 35.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) face unlock (d) a basic calculator
36. 36.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a summary (c) a hallucination (d) a backup
37. 37.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
38. 38.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
39. 39.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
40. 40.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training

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