AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 795 · 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 AI that sorts, spots or predicts (not generative)? (a) unlocking with a face (b) drafting a letter (c) writing quiz questions (d) composing a new tune
2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
3. 3.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
4. 4.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
5. 5.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
6. 6.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
7. 7.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a password (c) a summary (d) a backup
8. 8.🔍 Which is the odd one out? (a) blurry, unclear photos (b) correct labels (c) testing on training data (d) very few examples
9. 9.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
10. 10.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) many varied examples (d) wrong labels
11. 11.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ignore complaints (d) add varied examples
12. 12.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
13. 13.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
14. 14.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting a sick leaf (b) drawing a new picture (c) composing a new tune (d) making up a story
15. 15.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) predicting (c) generating (d) recognising
16. 16.🔍 Which is the odd one out? (a) AI can be wrong (b) AI is never wrong (c) AI can make up facts (d) AI learns from data
17. 17.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
18. 18.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it has a screen (d) it is always right
19. 19.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
20. 20.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
21. 21.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
22. 22.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
23. 23.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) use one group only (d) balance the data
24. 24.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
25. 25.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) music or sound (c) text
26. 26.🔍 Which is the odd one out? (a) new data for testing (b) clear, sharp examples (c) checking labels twice (d) very few examples
27. 27.Which of these is good for training a model? (a) checking labels twice (b) very few examples (c) blurry, unclear photos (d) wrong labels
28. 28.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) no, it finds patterns (c) yes, just like us (d) only on weekends
29. 29.Which of these is not AI? (a) a voice assistant (b) a doorbell (c) a map predicting traffic (d) voice typing
30. 30.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI learns from data (c) AI can be wrong (d) AI has real feelings
31. 31.True or false: suggesting the next word as you type needs AI that learns from examples. (a) False (b) True
32. 32.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
33. 33.🧮 Which of these is NOT AI? (a) a basic calculator (b) face unlock (c) voice typing (d) a spam filter
34. 34.Which of these is a fact about AI? (a) AI is never wrong (b) AI can mix up numbers (c) AI always checks facts (d) long answers are true
35. 35.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
36. 36.💬 What do we call the request you type to a generative AI? (a) a label (b) a battery (c) a password (d) a prompt
37. 37.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) an image (c) text
38. 38.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
39. 39.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
40. 40.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False

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