AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 730 · 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 many groups? (a) reduces bias (b) adds to bias
2. 2.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
4. 4.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
5. 5.True or false: “ignore complaints” adds to bias. (a) False (b) True
6. 6.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
7. 7.Which of these adds to bias? (a) check who is missing (b) copy old unfair choices (c) balance the data (d) add varied examples
8. 8.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) check who is missing (d) ignore complaints
9. 9.True or false: “add varied examples” adds to bias. (a) False (b) True
10. 10.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
12. 12.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
13. 13.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
15. 15.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on one group only (d) fix wrong labels
16. 16.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) ask different people (d) test on one group only
18. 18.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
19. 19.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
20. 20.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) test on many groups
22. 22.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) ask different people (d) add varied examples
23. 23.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
24. 24.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) add varied examples (d) test on one group only
25. 25.True or false: “ask different people” adds to bias. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) ignore complaints (d) balance the data
27. 27.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) ignore complaints (d) ask different people
28. 28.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
29. 29.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) use one group only
30. 30.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
31. 31.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
32. 32.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
33. 33.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) use one group only (d) test on many groups
34. 34.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
35. 35.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
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: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
38. 38.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) use one group only (d) skip testing
39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
40. 40.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) check who is missing (d) ask different people

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