AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 954 · 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.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) check who is missing (d) copy old unfair choices
2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
3. 3.Which of these helps reduce bias? (a) fix wrong labels (b) copy old unfair choices (c) add more of the same (d) use one group only
4. 4.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
5. 5.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
6. 6.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
7. 7.True or false: “check who is missing” helps reduce bias. (a) False (b) True
8. 8.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
9. 9.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
10. 10.Which of these adds to bias? (a) add varied examples (b) balance the data (c) add more of the same (d) ask different people
11. 11.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) test on one group only (d) test on many groups
12. 12.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
13. 13.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
14. 14.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
15. 15.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) test on many groups (d) balance the data
17. 17.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
18. 18.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
19. 19.True or false: “balance the data” helps reduce bias. (a) False (b) True
20. 20.True or false: “add more of the same” helps reduce bias. (a) True (b) False
21. 21.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
22. 22.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
23. 23.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) ask different people (d) balance the data
24. 24.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
25. 25.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
27. 27.True or false: “test on many groups” helps reduce bias. (a) False (b) True
28. 28.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
30. 30.True or false: “skip testing” helps reduce bias. (a) True (b) False
31. 31.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
32. 32.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) ask different people (d) skip testing
34. 34.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
35. 35.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) test on one group only (d) check who is missing
36. 36.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) ask different people (d) add more of the same
37. 37.🗣️ 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
38. 38.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
39. 39.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
40. 40.Which of these adds to bias? (a) copy old unfair choices (b) balance the data (c) check who is missing (d) test on many groups

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