AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 357 · 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 bad for training a model? (a) copies of one photo (b) new data for testing (c) photos in many lights (d) checking labels twice
2. 2.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) a spam filter (d) voice typing
3. 3.🔍 Which is the odd one out? (a) writing quiz questions (b) inventing a recipe (c) drafting a letter (d) turning speech to text
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
6. 6.🏷️ 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
7. 7.Which of these is not AI? (a) photos grouped by face (b) a torch (c) an AI chatbot (d) voice typing
8. 8.True or false: “skip testing” adds to bias. (a) True (b) False
9. 9.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) tomorrow’s rain guess (d) old emails marked spam
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
11. 11.🔍 Which is the odd one out? (a) AI learns from data (b) AI can make up facts (c) AI can be wrong (d) confident means correct
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
13. 13.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) many varied examples (d) only one kind of example
15. 15.Which of these is a myth about AI? (a) confident means correct (b) AI copies data patterns (c) AI learns from data (d) AI can make up facts
16. 16.🎨 An image generator makes a picture from… (a) a text description (b) the weather (c) your password (d) a phone number
17. 17.Which of these is not AI? (a) photos grouped by face (b) an image generator (c) video suggestions (d) a printed timetable
18. 18.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
19. 19.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
20. 20.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) old emails marked spam (d) naming a new leaf
21. 21.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
22. 22.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) new data for testing (d) testing on training data
24. 24.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) children speak too fast (d) it was a rainy day
25. 25.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.Which of these uses AI? (a) a voice assistant (b) a printed timetable (c) a fan regulator (d) a microwave timer
27. 27.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
28. 28.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) drawing a new picture (c) reading number plates (d) unlocking with a face
29. 29.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
30. 30.🤖 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
31. 31.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) composing a new tune (b) inventing a recipe (c) writing a new poem (d) spotting spam
33. 33.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
34. 34.True or false: counting the words in an essay needs AI that learns from examples. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) labels added at random (b) photos in many lights (c) many varied examples (d) checking labels twice
36. 36.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the right answer tag (d) the price
37. 37.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) recorded spoken words (d) tomorrow’s rain guess
38. 38.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
40. 40.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction

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