AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 206 · 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.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
3. 3.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
4. 4.Which of these adds to bias? (a) use one group only (b) balance the data (c) ask different people (d) fix wrong labels
5. 5.True or false: “test on one group only” helps reduce bias. (a) False (b) True
6. 6.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
7. 7.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
8. 8.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) test on many groups (d) use one group only
9. 9.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
10. 10.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
11. 11.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
12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
13. 13.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
14. 14.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) ask different people (d) test on many groups
15. 15.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) test on one group only (d) ask different people
16. 16.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
17. 17.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) fix wrong labels (d) skip testing
18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
19. 19.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
20. 20.True or false: “skip testing” helps reduce bias. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) balance the data (d) test on one group only
22. 22.Which of these adds to bias? (a) test on many groups (b) ask different people (c) skip testing (d) fix wrong labels
23. 23.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) copy old unfair choices (d) test on one group only
24. 24.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) add more of the same (d) copy old unfair choices
25. 25.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
26. 26.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
27. 27.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
28. 28.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
31. 31.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) copy old unfair choices (d) use one group only
33. 33.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) test on one group only (d) check who is missing
34. 34.True or false: “fix wrong labels” adds to bias. (a) True (b) False
35. 35.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
36. 36.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
37. 37.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) fix wrong labels (d) check who is missing
38. 38.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) use one group only (d) test on many groups
39. 39.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
40. 40.True or false: “balance the data” helps reduce bias. (a) False (b) True

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