AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 729 · 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: neat and messy writing from many people? (a) balanced data (b) one-sided data
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
3. 3.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
4. 4.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
5. 5.True or false: “add more of the same” adds to bias. (a) False (b) True
6. 6.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) skip testing (d) add more of the same
7. 7.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
8. 8.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
9. 9.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) add more of the same (d) ask different people
10. 10.True or false: “use one group only” adds to bias. (a) True (b) False
11. 11.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
12. 12.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.True or false: “test on one group only” helps reduce bias. (a) False (b) True
15. 15.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
16. 16.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
17. 17.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
18. 18.Which of these adds to bias? (a) ask different people (b) test on one group only (c) check who is missing (d) fix wrong labels
19. 19.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) test on many groups
20. 20.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
21. 21.Which of these helps reduce bias? (a) test on one group only (b) balance the data (c) skip testing (d) use one group only
22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
23. 23.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) add varied examples (d) ask different people
24. 24.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
25. 25.True or false: “use one group only” helps reduce bias. (a) False (b) True
26. 26.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.True or false: “ignore complaints” adds to bias. (a) True (b) False
28. 28.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
29. 29.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
30. 30.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
31. 31.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
32. 32.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
33. 33.Which of these helps reduce bias? (a) ignore complaints (b) add varied examples (c) test on one group only (d) add more of the same
34. 34.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) use one group only (d) test on one group only
35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
36. 36.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) add more of the same (d) add varied examples
39. 39.Which of these adds to bias? (a) balance the data (b) add varied examples (c) fix wrong labels (d) ignore complaints
40. 40.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data

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