AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 60 · 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.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
2. 2.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
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: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) skip testing (d) test on many groups
6. 6.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
7. 7.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) ignore complaints (d) balance the data
8. 8.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) use one group only (d) copy old unfair choices
9. 9.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
10. 10.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) use one group only (d) check who is missing
11. 11.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
12. 12.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
13. 13.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
14. 14.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) check who is missing (d) fix wrong labels
15. 15.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) check who is missing (d) add more of the same
17. 17.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
18. 18.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
20. 20.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) test on many groups (d) use one group only
21. 21.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
22. 22.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
23. 23.True or false: “test on many groups” helps reduce bias. (a) False (b) True
24. 24.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
25. 25.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
26. 26.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
27. 27.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) test on one group only (d) add more of the same
28. 28.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) copy old unfair choices (d) add more of the same
29. 29.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
30. 30.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
31. 31.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) ask different people (d) ignore complaints
32. 32.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
33. 33.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
34. 34.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
35. 35.Which of these adds to bias? (a) balance the data (b) ask different people (c) add varied examples (d) skip testing
36. 36.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
37. 37.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
38. 38.🖼️ 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
39. 39.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
40. 40.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias

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