AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 217 · 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: voices of children and adults from many regions? (a) balanced data (b) one-sided data
2. 2.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
3. 3.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) check who is missing (d) use one group only
4. 4.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) use one group only (d) add varied examples
5. 5.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
6. 6.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) copy old unfair choices (d) test on one group only
7. 7.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
9. 9.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
10. 10.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
11. 11.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
12. 12.True or false: “test on one group only” helps reduce bias. (a) False (b) True
13. 13.True or false: “fix wrong labels” adds to bias. (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) check who is missing (d) test on many groups
15. 15.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
16. 16.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
17. 17.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
19. 19.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
20. 20.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) skip testing (d) check who is missing
21. 21.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
22. 22.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
23. 23.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) skip testing (d) ask different people
24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
25. 25.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
26. 26.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
27. 27.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
28. 28.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
29. 29.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) use one group only (d) copy old unfair choices
30. 30.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) add more of the same (d) test on many groups
31. 31.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
32. 32.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
33. 33.Which of these helps reduce bias? (a) copy old unfair choices (b) fix wrong labels (c) use one group only (d) add more of the same
34. 34.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) balance the data (d) test on many groups
35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) fix wrong labels (d) ask different people
36. 36.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) ignore complaints (d) fix wrong labels
38. 38.Which of these helps reduce bias? (a) balance the data (b) use one group only (c) test on one group only (d) copy old unfair choices
39. 39.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
40. 40.True or false: “use one group only” helps reduce bias. (a) True (b) False

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