AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 145 · 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.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
2. 2.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
4. 4.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
5. 5.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) skip testing (d) fix wrong labels
6. 6.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) fix wrong labels (d) copy old unfair choices
7. 7.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) test on many groups (d) add more of the same
8. 8.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
9. 9.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) use one group only (d) add more of the same
10. 10.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
11. 11.True or false: “add varied examples” helps reduce bias. (a) False (b) True
12. 12.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
13. 13.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
14. 14.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) fix wrong labels (d) use one group only
15. 15.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
17. 17.Which of these adds to bias? (a) check who is missing (b) ask different people (c) fix wrong labels (d) test on one group only
18. 18.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
20. 20.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
21. 21.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
22. 22.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
23. 23.Which of these adds to bias? (a) skip testing (b) fix wrong labels (c) ask different people (d) check who is missing
24. 24.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
25. 25.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) add more of the same (d) balance the data
26. 26.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
27. 27.Which of these helps reduce bias? (a) add varied examples (b) copy old unfair choices (c) skip testing (d) use one group only
28. 28.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
29. 29.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
30. 30.True or false: “test on many groups” helps reduce bias. (a) False (b) True
31. 31.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
32. 32.True or false: “ask different people” adds to bias. (a) True (b) False
33. 33.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) ignore complaints (d) ask different people
34. 34.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) copy old unfair choices (d) ask different people
35. 35.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
36. 36.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
38. 38.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) balance the data (b) ignore complaints (c) test on one group only (d) use one group only
40. 40.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

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