AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 190 · 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: voices of children and adults from many regions? (a) one-sided data (b) balanced data
2. 2.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
3. 3.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
4. 4.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) balance the data (d) copy old unfair choices
6. 6.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
7. 7.True or false: “balance the data” helps reduce bias. (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
9. 9.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
10. 10.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
11. 11.True or false: “add varied examples” adds to bias. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) add varied examples (d) ignore complaints
13. 13.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) ignore complaints (d) balance the data
14. 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
15. 15.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
16. 16.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
17. 17.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
18. 18.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) ask different people (d) use one group only
19. 19.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) add more of the same (d) check who is missing
20. 20.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
21. 21.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
22. 22.Which of these helps reduce bias? (a) fix wrong labels (b) skip testing (c) copy old unfair choices (d) use one group only
23. 23.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
24. 24.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) test on one group only (d) use one group only
25. 25.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) test on one group only (d) add varied examples
26. 26.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
27. 27.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
28. 28.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) copy old unfair choices (d) add varied examples
29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) add varied examples (d) balance the data
30. 30.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) test on one group only (d) skip testing
31. 31.True or false: “balance the data” adds to bias. (a) True (b) False
32. 32.True or false: “test on many groups” adds to bias. (a) True (b) False
33. 33.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
34. 34.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) balance the data (d) use one group only
36. 36.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
37. 37.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) ask different people (d) use one group only
38. 38.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
40. 40.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data

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