AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 642 · 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.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
2. 2.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
5. 5.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) ignore complaints (d) ask different people
6. 6.True or false: “check who is missing” adds to bias. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) ask different people (d) test on many groups
8. 8.Which of these helps reduce bias? (a) fix wrong labels (b) add more of the same (c) copy old unfair choices (d) use one group only
9. 9.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) add varied examples (d) use one group only
10. 10.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
11. 11.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
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.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) balance the data (d) copy old unfair choices
14. 14.True or false: “add varied examples” adds to bias. (a) True (b) False
15. 15.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
16. 16.True or false: “add varied examples” helps reduce bias. (a) False (b) True
17. 17.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
18. 18.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
19. 19.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) add more of the same (d) skip testing
20. 20.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
21. 21.Which of these helps reduce bias? (a) add varied examples (b) ignore complaints (c) copy old unfair choices (d) add more of the same
22. 22.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) fix wrong labels (d) test on one group only
25. 25.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
26. 26.Which of these adds to bias? (a) use one group only (b) fix wrong labels (c) check who is missing (d) ask different people
27. 27.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) ask different people (d) add more of the same
28. 28.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
29. 29.True or false: “test on one group only” helps reduce bias. (a) False (b) True
30. 30.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) skip testing (d) add more of the same
31. 31.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
32. 32.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) check who is missing (d) fix wrong labels
33. 33.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🖼️ 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
35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
36. 36.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
37. 37.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
38. 38.True or false: “test on many groups” helps reduce bias. (a) True (b) False
39. 39.Which of these adds to bias? (a) balance the data (b) test on many groups (c) ignore complaints (d) add varied examples
40. 40.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias

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