AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 74 · 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 adds to bias? (a) copy old unfair choices (b) balance the data (c) test on many groups (d) ask different people
2. 2.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
3. 3.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
4. 4.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
6. 6.True or false: “ask different people” helps reduce bias. (a) True (b) False
7. 7.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
8. 8.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
10. 10.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) an image (c) text
11. 11.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
12. 12.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
13. 13.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
14. 14.🔍 Which is the odd one out? (a) a digital watch (b) face unlock on a phone (c) video suggestions (d) a voice assistant
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.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
18. 18.True or false: counting the words in an essay only needs a simple fixed rule. (a) False (b) True
19. 19.True or false: “the trained program” is a prediction. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
21. 21.💬 What do we call the request you type to a generative AI? (a) a battery (b) a prompt (c) a password (d) a label
22. 22.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
23. 23.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
25. 25.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
26. 26.Which of these uses AI? (a) a light switch (b) photos grouped by face (c) a calculator (d) a microwave timer
27. 27.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
28. 28.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
30. 30.Which of these describes how a normal program works? (a) one set rule per case (b) makes a best guess (c) handles unseen examples (d) learns from examples
31. 31.🌍 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
32. 32.🔍 Which is the odd one out? (a) AI knows everything (b) long answers are true (c) AI can be wrong (d) AI has real feelings
33. 33.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
34. 34.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) True (b) False
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
36. 36.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) an image (c) text
37. 37.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
38. 38.Which of these is a fact about AI? (a) AI answers need checking (b) AI is never wrong (c) AI knows everything (d) AI always checks facts
39. 39.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) generating (c) recognising (d) recommending
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam

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