AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 547 · 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.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
2. 2.Which of these uses AI? (a) a kitchen weighing scale (b) photos grouped by face (c) a stopwatch (d) a light switch
3. 3.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
5. 5.True or false: “old emails marked spam” is the model. (a) True (b) False
6. 6.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
7. 7.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
8. 8.🔍 Which is the odd one out? (a) a torch (b) a digital watch (c) face unlock on a phone (d) a kitchen weighing scale
9. 9.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) False (b) True
10. 10.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
12. 12.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
13. 13.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) sleeping (c) drawing (d) predicting
14. 14.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
15. 15.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
16. 16.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) skip testing (d) copy old unfair choices
17. 17.True or false: “ask different people” adds to bias. (a) True (b) False
18. 18.🏷️ 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
19. 19.True or false: a book app suggesting a story like your last one is AI generating something new. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
21. 21.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can be wrong (c) AI answers need checking (d) confident means correct
22. 22.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) copy old unfair choices (d) use one group only
23. 23.Which of these uses AI? (a) a fan regulator (b) a light switch (c) a map predicting traffic (d) a calculator
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
25. 25.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
26. 26.True or false: a map app guessing how long a trip will take is AI recognising something. (a) False (b) True
27. 27.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
28. 28.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
29. 29.Which of these is generative AI (it makes something new)? (a) making up a story (b) reading number plates (c) suggesting a video (d) sorting photos by face
30. 30.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
31. 31.True or false: an AI chatbot writing a story about a lost kite is AI predicting something. (a) False (b) True
32. 32.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
33. 33.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
34. 34.🔍 Which is the odd one out? (a) sorting photos by face (b) creating a cartoon (c) spotting spam (d) reading number plates
35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
36. 36.Which of these uses AI? (a) a doorbell (b) an AI chatbot (c) a fan regulator (d) a microwave timer
37. 37.📱 What is the AI doing here: a camera app naming the flower you point at? (a) predicting (b) recommending (c) recognising (d) generating
38. 38.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
39. 39.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
40. 40.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)

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