AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 904 · 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: photos of people from only one age group? (a) one-sided data (b) balanced data
2. 2.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
5. 5.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
6. 6.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) copy old unfair choices (d) test on one group only
7. 7.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) balance the data (d) ignore complaints
8. 8.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
9. 9.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) the phone was new (d) it was a rainy day
11. 11.True or false: “use one group only” adds to bias. (a) True (b) False
12. 12.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) copy old unfair choices (d) use one group only
13. 13.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) copy old unfair choices (d) check who is missing
14. 14.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.True or false: “add varied examples” helps reduce bias. (a) True (b) False
16. 16.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) add varied examples (d) add more of the same
17. 17.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) copy old unfair choices (d) test on one group only
20. 20.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
21. 21.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
22. 22.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
23. 23.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
24. 24.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
25. 25.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
26. 26.True or false: “check who is missing” helps reduce bias. (a) True (b) False
27. 27.True or false: “add more of the same” helps reduce bias. (a) False (b) True
28. 28.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
29. 29.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
30. 30.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) copy old unfair choices (d) test on one group only
31. 31.True or false: “test on one group only” adds to bias. (a) True (b) False
32. 32.True or false: “ask different people” helps reduce bias. (a) True (b) False
33. 33.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
34. 34.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) test on many groups (d) use one group only
35. 35.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
36. 36.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.Which of these adds to bias? (a) balance the data (b) use one group only (c) add varied examples (d) test on many groups
38. 38.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.Which of these helps reduce bias? (a) skip testing (b) fix wrong labels (c) test on one group only (d) copy old unfair choices
40. 40.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias

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