AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 367 · 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 is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
3. 3.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
4. 4.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) an image (c) music or sound
5. 5.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) True (b) False
6. 6.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
7. 7.True or false: “five quiz questions on fractions” asks for an image. (a) True (b) False
8. 8.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
9. 9.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
10. 10.True or false: “naming a new leaf” is training data. (a) True (b) False
11. 11.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
12. 12.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) photos in many lights (d) testing on training data
13. 13.🔍 Which is the odd one out? (a) drawing a new picture (b) spotting a sick leaf (c) reading number plates (d) spotting spam
14. 14.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
16. 16.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
17. 17.🔍 Which is the odd one out? (a) spotting spam (b) sorting photos by face (c) spotting a sick leaf (d) inventing a recipe
18. 18.🔍 Which is the odd one out? (a) a stopwatch (b) a doorbell (c) face unlock on a phone (d) a kitchen weighing scale
19. 19.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
20. 20.True or false: “a soft lullaby melody” asks for text. (a) False (b) True
21. 21.🤖 Who builds and trains AI systems? (a) people (b) the weather (c) the Moon (d) nobody at all
22. 22.Which of these uses AI? (a) a fan regulator (b) a calculator (c) a doorbell (d) an image generator
23. 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
26. 26.Which of these is a myth about AI? (a) AI answers need checking (b) AI copies data patterns (c) long answers are true (d) AI can be wrong
27. 27.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
28. 28.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) predicting rain (c) spotting a sick leaf (d) drafting a letter
29. 29.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) copies of one photo (d) new data for testing
30. 30.🔍 Which is the odd one out? (a) an AI chatbot (b) face unlock on a phone (c) a calculator (d) a map predicting traffic
31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
32. 32.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
33. 33.Which of these describes how a normal program works? (a) spots patterns in data (b) gives a likely answer (c) uses rules people wrote (d) learns from examples
34. 34.True or false: “check who is missing” helps reduce bias. (a) True (b) False
35. 35.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
36. 36.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
37. 37.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
38. 38.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
39. 39.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
40. 40.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) examples of every type (d) only one kind of example

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