AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 558 · 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: leaves from every season of the year? (a) one-sided data (b) balanced data
2. 2.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) test on many groups (d) check who is missing
3. 3.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
4. 4.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
5. 5.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
6. 6.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
7. 7.True or false: “add more of the same” helps reduce bias. (a) True (b) False
8. 8.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
9. 9.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
10. 10.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
12. 12.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) ignore complaints (d) add more of the same
13. 13.True or false: “fix wrong labels” adds to bias. (a) False (b) True
14. 14.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) check who is missing (d) copy old unfair choices
15. 15.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
16. 16.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
17. 17.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) fix wrong labels (d) add varied examples
18. 18.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
19. 19.Which of these adds to bias? (a) balance the data (b) test on many groups (c) use one group only (d) add varied examples
20. 20.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
21. 21.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
22. 22.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) skip testing (d) ignore complaints
23. 23.🗣️ 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) children speak too fast (d) the phone was new
24. 24.True or false: “test on one group only” helps reduce bias. (a) True (b) False
25. 25.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
28. 28.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) add varied examples (d) add more of the same
29. 29.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
30. 30.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
31. 31.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) skip testing (d) balance the data
32. 32.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
33. 33.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
34. 34.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
36. 36.True or false: “test on many groups” adds to bias. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) fix wrong labels (d) ask different people
38. 38.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) fix wrong labels (d) copy old unfair choices
39. 39.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
40. 40.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False

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