AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 934 · 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: fix wrong labels? (a) reduces bias (b) adds to bias
2. 2.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
4. 4.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) ask different people (d) fix wrong labels
5. 5.True or false: “add varied examples” helps reduce bias. (a) False (b) True
6. 6.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) ignore complaints (d) ask different people
7. 7.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
8. 8.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
9. 9.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
12. 12.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) skip testing (d) fix wrong labels
13. 13.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
14. 14.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) add varied examples (d) add more of the same
16. 16.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
17. 17.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) copy old unfair choices (d) add more of the same
18. 18.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) ask different people (d) check who is missing
20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
21. 21.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
22. 22.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
23. 23.Which of these adds to bias? (a) check who is missing (b) test on one group only (c) balance the data (d) ask different people
24. 24.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
25. 25.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
26. 26.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
27. 27.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) test on one group only (d) fix wrong labels
28. 28.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
29. 29.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
30. 30.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
31. 31.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
32. 32.True or false: “skip testing” adds to bias. (a) True (b) False
33. 33.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) test on many groups (d) use one group only
34. 34.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
35. 35.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) skip testing (d) check who is missing
36. 36.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
37. 37.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
38. 38.True or false: “balance the data” adds to bias. (a) False (b) True
39. 39.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) test on many groups (d) skip testing
40. 40.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) balance the data (d) add varied examples

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