AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 437 · 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.Which of these adds to bias? (a) test on many groups (b) ask different people (c) add varied examples (d) copy old unfair choices
2. 2.True or false: “balance the data” adds to bias. (a) True (b) False
3. 3.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
4. 4.Which of these adds to bias? (a) ask different people (b) add varied examples (c) balance the data (d) skip testing
5. 5.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
6. 6.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) add more of the same (d) skip testing
7. 7.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
8. 8.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) copy old unfair choices (d) ignore complaints
9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
10. 10.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
11. 11.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
12. 12.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) skip testing (d) test on many groups
13. 13.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
14. 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
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: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
17. 17.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
18. 18.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
19. 19.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
20. 20.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) copy old unfair choices (d) ask different people
21. 21.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) add more of the same (d) skip testing
22. 22.True or false: “skip testing” adds to bias. (a) False (b) True
23. 23.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
24. 24.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
25. 25.True or false: “test on many groups” helps reduce bias. (a) True (b) False
26. 26.Which of these adds to bias? (a) use one group only (b) ask different people (c) balance the data (d) check who is missing
27. 27.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
28. 28.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) add varied examples (d) skip testing
29. 29.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
30. 30.Which of these helps reduce bias? (a) skip testing (b) check who is missing (c) copy old unfair choices (d) ignore complaints
31. 31.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) test on many groups (d) test on one group only
32. 32.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) add varied examples
33. 33.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
34. 34.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
35. 35.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
36. 36.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
37. 37.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
38. 38.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
39. 39.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
40. 40.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data

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