AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 694 · 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: stories where every doctor is a man? (a) balanced data (b) one-sided data
2. 2.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
3. 3.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
4. 4.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
5. 5.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
6. 6.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
7. 7.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
9. 9.Which of these helps reduce bias? (a) skip testing (b) add varied examples (c) add more of the same (d) copy old unfair choices
10. 10.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) copy old unfair choices (d) ignore complaints
11. 11.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
12. 12.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
14. 14.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
15. 15.True or false: “test on many groups” helps reduce bias. (a) False (b) True
16. 16.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
17. 17.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) skip testing (d) check who is missing
18. 18.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) test on many groups (d) test on one group only
19. 19.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
21. 21.Which of these adds to bias? (a) balance the data (b) check who is missing (c) fix wrong labels (d) use one group only
22. 22.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
23. 23.True or false: “add more of the same” adds to bias. (a) True (b) False
24. 24.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) use one group only (d) test on many groups
25. 25.Which of these adds to bias? (a) ignore complaints (b) balance the data (c) ask different people (d) fix wrong labels
26. 26.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
27. 27.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ask different people (d) ignore complaints
28. 28.True or false: “balance the data” helps reduce bias. (a) True (b) False
29. 29.Which of these adds to bias? (a) copy old unfair choices (b) check who is missing (c) ask different people (d) fix wrong labels
30. 30.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
31. 31.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) skip testing (d) check who is missing
32. 32.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) add more of the same (d) ask different people
33. 33.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
34. 34.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
35. 35.True or false: “use one group only” helps reduce bias. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) test on one group only (d) add more of the same
37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
38. 38.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) use one group only (d) balance the data
39. 39.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
40. 40.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias

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