AI Bias Worksheet for Kids

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

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