AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 913 · 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 does generative AI do? (a) only stores files (b) makes new content (c) only adds numbers (d) charges batteries
2. 2.Which of these is not AI? (a) a map predicting traffic (b) video suggestions (c) a spam filter (d) a light switch
3. 3.True or false: “checking labels twice” is good for training a model. (a) True (b) False
4. 4.🔍 Which is the odd one out? (a) unlocking with a face (b) sorting photos by face (c) writing a new poem (d) turning speech to text
5. 5.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
6. 6.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) clear, sharp examples (d) testing on training data
7. 7.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) skip testing (d) balance the data
8. 8.🔍 Which is the odd one out? (a) a calculator (b) face unlock on a phone (c) a light switch (d) a stopwatch
9. 9.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
10. 10.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
11. 11.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
12. 12.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
13. 13.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) predicting (c) recognising (d) generating
14. 14.True or false: “a logo idea for the eco club” asks for music or sound. (a) True (b) False
15. 15.True or false: “learns from examples” describes how AI works. (a) True (b) False
16. 16.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
17. 17.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
18. 18.Which of these is bad for training a model? (a) examples of every type (b) clear, sharp examples (c) wrong labels (d) checking labels twice
19. 19.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
20. 20.Which of these is a myth about AI? (a) confident means correct (b) AI can be wrong (c) AI learns from data (d) AI can mix up numbers
21. 21.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
22. 22.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
23. 23.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) add varied examples (d) check who is missing
24. 24.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI knows everything (c) AI copies data patterns (d) AI learns from data
25. 25.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
26. 26.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
27. 27.🖼️ 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
28. 28.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) never do maths (c) copy it straight away (d) check it on paper
29. 29.Which of these is bad for training a model? (a) blurry, unclear photos (b) new data for testing (c) checking labels twice (d) many varied examples
30. 30.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
31. 31.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
33. 33.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) add more of the same (d) use one group only
36. 36.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
37. 37.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
39. 39.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) asks a person (c) copies one website (d) uses magic
40. 40.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True

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