AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 913 · 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) use one group only (b) ignore complaints (c) test on one group only (d) balance the data
2. 2.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) add more of the same (d) copy old unfair choices
3. 3.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
4. 4.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) skip testing (d) add varied examples
5. 5.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
6. 6.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
7. 7.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) fix wrong labels (d) use one group only
8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
9. 9.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
10. 10.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
11. 11.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
12. 12.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) copy old unfair choices (d) fix wrong labels
13. 13.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
14. 14.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) ask different people (d) balance the data
15. 15.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
17. 17.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
18. 18.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
19. 19.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
21. 21.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
22. 22.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
23. 23.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) test on many groups (d) copy old unfair choices
24. 24.True or false: “add varied examples” adds to bias. (a) True (b) False
25. 25.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
26. 26.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
27. 27.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
28. 28.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) skip testing (d) copy old unfair choices
29. 29.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) ask different people (d) test on one group only
30. 30.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) check who is missing (d) ignore complaints
31. 31.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) add varied examples (d) test on many groups
32. 32.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) add more of the same (d) check who is missing
33. 33.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
34. 34.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
35. 35.True or false: “balance the data” adds to bias. (a) False (b) True
36. 36.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
37. 37.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
38. 38.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) add varied examples (d) check who is missing
39. 39.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) skip testing (d) check who is missing

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