AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 212 · 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: mangoes both raw and ripe? (a) balanced data (b) one-sided data
2. 2.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) add varied examples (d) balance the data
3. 3.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
4. 4.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
5. 5.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
6. 6.Which of these adds to bias? (a) balance the data (b) ask different people (c) test on many groups (d) skip testing
7. 7.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
8. 8.True or false: “skip testing” adds to bias. (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) skip testing (b) check who is missing (c) use one group only (d) add more of the same
10. 10.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
12. 12.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
13. 13.Which of these helps reduce bias? (a) balance the data (b) skip testing (c) ignore complaints (d) test on one group only
14. 14.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
16. 16.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) copy old unfair choices (d) use one group only
17. 17.True or false: “check who is missing” helps reduce bias. (a) True (b) False
18. 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
19. 19.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.True or false: “test on many groups” adds to bias. (a) True (b) False
21. 21.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
22. 22.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
23. 23.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) test on many groups (d) add more of the same
24. 24.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
25. 25.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
26. 26.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
27. 27.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
28. 28.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) check who is missing (d) add varied examples
29. 29.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) copy old unfair choices (d) test on many groups
30. 30.True or false: “skip testing” helps reduce bias. (a) False (b) True
31. 31.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
32. 32.True or false: “ask different people” helps reduce bias. (a) True (b) False
33. 33.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) check who is missing (d) add more of the same
34. 34.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) check who is missing (d) test on one group only
35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
36. 36.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
37. 37.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) fix wrong labels (d) skip testing
38. 38.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) skip testing (d) balance the data
39. 39.True or false: “add varied examples” adds to bias. (a) True (b) False
40. 40.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False

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