AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 390 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
2. 2.Which of these is bad for training a model? (a) checking labels twice (b) blurry, unclear photos (c) clear, sharp examples (d) photos in many lights
3. 3.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
4. 4.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
5. 5.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
6. 6.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) fix wrong labels (d) use one group only
7. 7.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
8. 8.🏠 AI or not AI: an app translating signs? (a) not AI (b) uses AI
9. 9.🎨 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
10. 10.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
11. 11.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) unlocking with a face (c) creating a cartoon (d) spotting spam
12. 12.Which of these is good for training a model? (a) correct labels (b) only one kind of example (c) testing on training data (d) very few examples
13. 13.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
14. 14.🔍 Which is the odd one out? (a) an AI chatbot (b) a map predicting traffic (c) photos grouped by face (d) a torch
15. 15.True or false: recognising a bird from its song only needs a simple fixed rule. (a) True (b) False
16. 16.Which of these is a fact about AI? (a) AI has real feelings (b) long answers are true (c) AI can be wrong (d) confident means correct
17. 17.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
18. 18.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
19. 19.🏷️ 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
20. 20.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
21. 21.Which of these adds to bias? (a) add varied examples (b) balance the data (c) ignore complaints (d) ask different people
22. 22.True or false: “long answers are true” is a myth about AI. (a) False (b) True
23. 23.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it will turn yellow (d) it may get it wrong
24. 24.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
25. 25.Which of these is bad for training a model? (a) wrong labels (b) new data for testing (c) correct labels (d) photos in many lights
26. 26.Which of these describes how a normal program works? (a) improves with more data (b) learns from examples (c) gives a likely answer (d) same steps every time
27. 27.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) checking labels twice (d) only one kind of example
28. 28.Which of these is bad for training a model? (a) testing on training data (b) correct labels (c) photos in many lights (d) checking labels twice
29. 29.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) reading number plates (c) drawing a new picture (d) sorting photos by face
30. 30.Which of these uses AI? (a) a digital watch (b) a doorbell (c) video suggestions (d) a kitchen weighing scale
31. 31.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
32. 32.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
33. 33.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
34. 34.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
35. 35.True or false: “examples of every type” is bad for training a model. (a) False (b) True
36. 36.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) 500 labelled leaf photos (d) the trained program
37. 37.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
38. 38.True or false: turning your spoken words into typed text is AI generating something new. (a) False (b) True
39. 39.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) text (c) music or sound
40. 40.Which of these is a myth about AI? (a) AI can make up facts (b) AI always checks facts (c) AI can mix up numbers (d) AI learns from data

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students