AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 470 · 40 questions

AI tip (Fair data, fairer AI): Bias usually comes from the training data: if a group is missing or shown in only one way, the model copies that. One-sided data: one age group, only ripe mangoes, only adult voices, only neat handwriting. Balanced data: many ages, colours, voices, regions and styles. Reduce bias: add varied examples, check who is missing, test on many groups, fix wrong labels and listen to complaints.

1. 1.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
2. 2.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
3. 3.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) use one group only (d) fix wrong labels
4. 4.True or false: “add more of the same” helps reduce bias. (a) True (b) False
5. 5.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
6. 6.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
8. 8.Which of these adds to bias? (a) check who is missing (b) balance the data (c) add varied examples (d) copy old unfair choices
9. 9.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
10. 10.Which of these helps reduce bias? (a) add varied examples (b) copy old unfair choices (c) test on one group only (d) use one group only
11. 11.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) ignore complaints (d) fix wrong labels
12. 12.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
13. 13.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) copy old unfair choices (d) fix wrong labels
14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
15. 15.True or false: “check who is missing” adds to bias. (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) skip testing (d) test on many groups
17. 17.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
18. 18.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
19. 19.True or false: “use one group only” helps reduce bias. (a) False (b) True
20. 20.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
21. 21.True or false: “ask different people” adds to bias. (a) False (b) True
22. 22.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
26. 26.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
27. 27.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) use one group only (d) ask different people
28. 28.Which of these helps reduce bias? (a) ignore complaints (b) fix wrong labels (c) test on one group only (d) use one group only
29. 29.True or false: “fix wrong labels” adds to bias. (a) True (b) False
30. 30.Which of these adds to bias? (a) check who is missing (b) use one group only (c) test on many groups (d) ask different people
31. 31.True or false: “balance the data” adds to bias. (a) True (b) False
32. 32.Which of these adds to bias? (a) add varied examples (b) skip testing (c) ask different people (d) balance the data
33. 33.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
34. 34.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
35. 35.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
36. 36.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) use one group only (d) add more of the same
37. 37.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
38. 38.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
39. 39.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) fix wrong labels (d) check who is missing
40. 40.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True

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