AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 623 · 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: “copy old unfair choices” helps reduce bias. (a) False (b) True
2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
3. 3.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) fix wrong labels (d) add more of the same
4. 4.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) test on one group only (d) check who is missing
5. 5.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
6. 6.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
7. 7.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
8. 8.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) fix wrong labels (d) ignore complaints
9. 9.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) check who is missing (d) use one group only
10. 10.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
11. 11.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) copy old unfair choices (d) skip testing
13. 13.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
14. 14.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
15. 15.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) skip testing (d) fix wrong labels
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: “ask different people” adds to bias. (a) False (b) True
19. 19.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) test on one group only (d) ask different people
20. 20.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
21. 21.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
22. 22.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
23. 23.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) add varied examples (d) fix wrong labels
24. 24.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
26. 26.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
27. 27.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) copy old unfair choices (d) test on many groups
28. 28.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
29. 29.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) use one group only (d) check who is missing
30. 30.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) add more of the same (d) test on many groups
31. 31.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
32. 32.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) add varied examples (d) skip testing
33. 33.True or false: “add varied examples” helps reduce bias. (a) True (b) False
34. 34.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
35. 35.True or false: “test on one group only” helps reduce bias. (a) True (b) False
36. 36.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
37. 37.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
38. 38.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
39. 39.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
40. 40.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False

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