AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 191 · 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.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
2. 2.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
3. 3.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
4. 4.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
5. 5.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
6. 6.🔍 Which is the odd one out? (a) testing on training data (b) wrong labels (c) many varied examples (d) copies of one photo
7. 7.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
8. 8.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
9. 9.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
10. 10.Which of these is generative AI (it makes something new)? (a) reading number plates (b) turning speech to text (c) spotting spam (d) making up a story
11. 11.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) labelled fruit photos (d) old emails marked spam
12. 12.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
13. 13.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
14. 14.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
15. 15.Which of these is a fact about AI? (a) AI is never wrong (b) AI learns from data (c) AI has real feelings (d) confident means correct
16. 16.True or false: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
17. 17.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) learns from examples (d) follows fixed rules
18. 18.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) only stores files (d) makes new content
19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
20. 20.True or false: “only one kind of example” is good for training a model. (a) True (b) False
21. 21.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
22. 22.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it will shut down (d) it may get it wrong
23. 23.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
24. 24.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
25. 25.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
26. 26.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
27. 27.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
28. 28.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) sorting photos by face (c) making up a story (d) inventing a recipe
29. 29.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
30. 30.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) drawing (c) sleeping (d) singing
31. 31.🔍 Which is the odd one out? (a) an app translating signs (b) a spam filter (c) a map predicting traffic (d) a doorbell
32. 32.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
33. 33.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) the trained program (d) typing a new spoken word
34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
35. 35.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) many varied examples (d) testing on training data
36. 36.🔍 Which is the odd one out? (a) a map predicting traffic (b) an app translating signs (c) face unlock on a phone (d) a stopwatch
37. 37.🔍 Which is the odd one out? (a) long answers are true (b) AI has real feelings (c) AI is never wrong (d) AI can be wrong
38. 38.🏷️ 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
39. 39.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
40. 40.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data

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