AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 475 · 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) check who is missing (b) test on one group only (c) add more of the same (d) use one group only
2. 2.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
4. 4.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) ignore complaints (d) test on many groups
5. 5.Which of these adds to bias? (a) use one group only (b) add varied examples (c) ask different people (d) fix wrong labels
6. 6.True or false: “add more of the same” adds to bias. (a) False (b) True
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
8. 8.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) ignore complaints (d) balance the data
9. 9.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
10. 10.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
12. 12.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
13. 13.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
14. 14.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
15. 15.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) fix wrong labels (d) balance the data
16. 16.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) fix wrong labels (d) add more of the same
17. 17.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
18. 18.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
19. 19.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
20. 20.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) balance the data (d) fix wrong labels
21. 21.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) skip testing (d) add varied examples
22. 22.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
24. 24.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) add more of the same (d) ask different people
25. 25.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) test on many groups (d) check who is missing
26. 26.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) ask different people (d) skip testing
27. 27.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) copy old unfair choices (d) add varied examples
28. 28.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
29. 29.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) copy old unfair choices (d) check who is missing
31. 31.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
32. 32.True or false: “balance the data” adds to bias. (a) True (b) False
33. 33.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (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.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
36. 36.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
37. 37.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) test on many groups (d) skip testing
38. 38.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
39. 39.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) test on many groups (d) copy old unfair choices
40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True

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