AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 443 · 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) predicting rain (b) composing a new tune (c) writing a new poem (d) drafting a letter
2. 2.🔍 Which is the odd one out? (a) composing a new tune (b) unlocking with a face (c) drawing a new picture (d) writing quiz questions
3. 3.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
4. 4.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) predicting (b) recommending (c) generating (d) recognising
5. 5.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) typing a new spoken word (d) labelled fruit photos
6. 6.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) cooking (d) recommending
7. 7.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) writing a new poem (b) reading number plates (c) drafting a letter (d) composing a new tune
9. 9.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
10. 10.True or false: “very few examples” is bad for training a model. (a) False (b) True
11. 11.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
12. 12.🏷️ 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) spam (b) not spam
13. 13.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
14. 14.Which of these uses AI? (a) photos grouped by face (b) a calculator (c) a digital watch (d) a kitchen weighing scale
15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
16. 16.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
17. 17.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
18. 18.🤖 Who builds and trains AI systems? (a) people (b) the weather (c) the Moon (d) nobody at all
19. 19.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
20. 20.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) blurry, unclear photos (d) many varied examples
21. 21.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
22. 22.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) only adds numbers (d) makes new content
23. 23.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
24. 24.True or false: “many varied examples” is bad for training a model. (a) True (b) False
25. 25.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
26. 26.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
27. 27.Which of these is bad for training a model? (a) examples of every type (b) checking labels twice (c) testing on training data (d) new data for testing
28. 28.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
29. 29.Which of these is a fact about AI? (a) AI is never wrong (b) AI learns from data (c) confident means correct (d) long answers are true
30. 30.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
31. 31.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
32. 32.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
33. 33.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
34. 34.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) add more of the same (d) fix wrong labels
35. 35.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
36. 36.True or false: “recorded spoken words” is training data. (a) False (b) True
37. 37.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) False (b) True
38. 38.🤖 What does AI stand for? (a) artificial intelligence (b) actual information (c) automatic internet (d) app installer
39. 39.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) copy old unfair choices (d) ask different people
40. 40.🔍 Which is the odd one out? (a) AI answers need checking (b) AI learns from data (c) AI can make up facts (d) AI is never wrong

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