AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 792 · 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.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
2. 2.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
3. 3.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) ignore complaints (d) balance the data
4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) add varied examples (d) balance the data
5. 5.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) skip testing (d) add more of the same
6. 6.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) skip testing (d) test on many groups
7. 7.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
8. 8.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
9. 9.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) add varied examples (d) fix wrong labels
10. 10.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
11. 11.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) the phone was new (d) children speak too fast
14. 14.Which of these adds to bias? (a) balance the data (b) test on one group only (c) ask different people (d) add varied examples
15. 15.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
16. 16.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
17. 17.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
18. 18.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
19. 19.Which of these helps reduce bias? (a) ask different people (b) skip testing (c) copy old unfair choices (d) add more of the same
20. 20.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
21. 21.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
22. 22.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
23. 23.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
25. 25.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
26. 26.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
27. 27.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
28. 28.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
30. 30.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) add more of the same (d) skip testing
31. 31.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) add more of the same (d) test on one group only
32. 32.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) balance the data (d) copy old unfair choices
33. 33.True or false: “balance the data” helps reduce bias. (a) True (b) False
34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
35. 35.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) ignore complaints (d) copy old unfair choices
36. 36.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
37. 37.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) add more of the same (d) test on many groups
38. 38.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
39. 39.True or false: “test on one group only” adds to bias. (a) True (b) False
40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True

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