AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 364 · 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 generative AI (it makes something new)? (a) unlocking with a face (b) spotting a sick leaf (c) drafting a letter (d) sorting photos by face
2. 2.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
3. 3.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) many varied examples (d) only one kind of example
4. 4.🔍 Which is the odd one out? (a) a voice assistant (b) a map predicting traffic (c) a calculator (d) video suggestions
5. 5.Which of these helps reduce bias? (a) ignore complaints (b) add varied examples (c) copy old unfair choices (d) add more of the same
6. 6.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
7. 7.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
8. 8.True or false: “balance the data” adds to bias. (a) False (b) True
9. 9.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
10. 10.True or false: “AI has real feelings” is a fact about AI. (a) False (b) True
11. 11.Which of these is not AI? (a) video suggestions (b) a fan regulator (c) a spam filter (d) photos grouped by face
12. 12.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
14. 14.True or false: “labels added at random” is good for training a model. (a) True (b) False
15. 15.True or false: “correct labels” is bad for training a model. (a) True (b) False
16. 16.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
18. 18.True or false: “copies of one photo” is good for training a model. (a) False (b) True
19. 19.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
20. 20.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) unlocking with a face (c) predicting rain (d) composing a new tune
21. 21.True or false: “never learns from data” describes how AI works. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI is never wrong (c) AI has real feelings (d) long answers are true
23. 23.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
24. 24.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can mix up numbers (c) AI answers need checking (d) AI always checks facts
25. 25.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) test on one group only (d) use one group only
27. 27.Which of these uses AI? (a) a spam filter (b) a kitchen weighing scale (c) a light switch (d) a digital watch
28. 28.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
29. 29.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
30. 30.True or false: “a picture of a castle made of mangoes” asks for music or sound. (a) True (b) False
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.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) copies of one photo (d) examples of every type
33. 33.Which of these is bad for training a model? (a) checking labels twice (b) very few examples (c) clear, sharp examples (d) correct labels
34. 34.Which of these is AI that sorts, spots or predicts (not generative)? (a) turning speech to text (b) writing a new poem (c) making up a story (d) inventing a recipe
35. 35.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) many labelled photos (d) a list of rules only
36. 36.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it has a screen (d) it learns from examples
37. 37.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) pick a lucky number (c) ask it to repeat (d) guess
38. 38.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
39. 39.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
40. 40.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) past weather records (d) naming a new leaf

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