AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 529 · 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: “test on many groups” helps reduce bias. (a) True (b) False
2. 2.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) recognising (c) recommending (d) generating
3. 3.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
5. 5.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
6. 6.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
7. 7.🔍 Which is the odd one out? (a) voice typing (b) an image generator (c) a microwave timer (d) an app translating signs
8. 8.✨ What does generative AI do? (a) charges batteries (b) makes new content (c) only stores files (d) only adds numbers
9. 9.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
10. 10.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) no, it follows rules (d) only at night
11. 11.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) old emails marked spam (d) what training builds
12. 12.🔍 Which is the odd one out? (a) AI always checks facts (b) AI is never wrong (c) AI learns from data (d) long answers are true
13. 13.True or false: “testing on training data” is bad for training a model. (a) False (b) True
14. 14.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
15. 15.True or false: “write a poem about the monsoon” asks for an image. (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) wrong labels (b) labels added at random (c) testing on training data (d) clear, sharp examples
17. 17.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
18. 18.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
19. 19.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
20. 20.True or false: “a picture of a castle made of mangoes” asks for music or sound. (a) False (b) True
21. 21.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
22. 22.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
23. 23.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
24. 24.Which of these describes how a normal program works? (a) spots patterns in data (b) makes a best guess (c) improves with more data (d) does exactly as coded
25. 25.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
26. 26.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recommending (b) generating (c) predicting (d) recognising
27. 27.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
28. 28.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) an image (c) text
29. 29.🔍 Which is the odd one out? (a) copies of one photo (b) many varied examples (c) photos in many lights (d) examples of every type
30. 30.Which of these describes how a normal program works? (a) never learns from data (b) learns from examples (c) handles unseen examples (d) improves with more data
31. 31.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
32. 32.🤖 Who builds and trains AI systems? (a) the weather (b) nobody at all (c) people (d) the Moon
33. 33.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) ignore complaints (d) fix wrong labels
34. 34.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
35. 35.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will shut down (d) it will turn yellow
36. 36.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) True (b) False
37. 37.True or false: “past weather records” is training data. (a) False (b) True
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
39. 39.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
40. 40.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records

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