AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 748 · 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: ask different people? (a) reduces bias (b) adds to bias
2. 2.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
4. 4.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
5. 5.Which of these adds to bias? (a) skip testing (b) ask different people (c) balance the data (d) fix wrong labels
6. 6.True or false: “test on one group only” helps reduce bias. (a) True (b) False
7. 7.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
8. 8.Which of these adds to bias? (a) balance the data (b) add varied examples (c) ignore complaints (d) check who is missing
9. 9.Which of these adds to bias? (a) copy old unfair choices (b) balance the data (c) fix wrong labels (d) ask different people
10. 10.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
11. 11.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
12. 12.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
13. 13.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) add more of the same (d) fix wrong labels
14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
15. 15.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
16. 16.True or false: “balance the data” adds to bias. (a) True (b) False
17. 17.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
18. 18.True or false: “test on many groups” adds to bias. (a) True (b) False
19. 19.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on many groups (d) test on one group only
20. 20.True or false: “ignore complaints” adds to bias. (a) False (b) True
21. 21.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
22. 22.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) use one group only (d) test on one group only
23. 23.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
24. 24.True or false: “add varied examples” adds to bias. (a) False (b) True
25. 25.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
27. 27.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
28. 28.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
29. 29.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) skip testing (d) check who is missing
30. 30.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) fix wrong labels (d) balance the data
31. 31.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) fix wrong labels (d) check who is missing
32. 32.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
33. 33.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) use one group only (d) balance the data
34. 34.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
36. 36.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) add more of the same (d) add varied examples
37. 37.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
38. 38.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
39. 39.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
40. 40.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) add more of the same (d) use one group only

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