AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 394 · 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.True or false: “test on many groups” adds to bias. (a) True (b) False
2. 2.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
3. 3.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
4. 4.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) skip testing (d) test on many groups
6. 6.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
8. 8.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
9. 9.Which of these adds to bias? (a) test on many groups (b) test on one group only (c) balance the data (d) fix wrong labels
10. 10.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) balance the data (d) add more of the same
11. 11.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) add varied examples (d) ignore complaints
12. 12.True or false: “add varied examples” helps reduce bias. (a) False (b) True
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
14. 14.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) ask different people (d) copy old unfair choices
15. 15.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) ask different people (d) balance the data
16. 16.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
17. 17.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
18. 18.True or false: “add more of the same” adds to bias. (a) False (b) True
19. 19.Which of these helps reduce bias? (a) balance the data (b) use one group only (c) copy old unfair choices (d) add more of the same
20. 20.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
21. 21.True or false: “test on one group only” adds to bias. (a) False (b) True
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) ask different people (b) skip testing (c) check who is missing (d) balance the data
24. 24.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
26. 26.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) use one group only
27. 27.True or false: “ignore complaints” adds to bias. (a) False (b) True
28. 28.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
29. 29.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
30. 30.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
31. 31.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) test on one group only (d) fix wrong labels
32. 32.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
36. 36.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
37. 37.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) ignore complaints (d) add more of the same
38. 38.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
39. 39.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
40. 40.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) test on one group only (d) test on many groups

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