AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 411 · 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: “skip testing” adds to bias. (a) True (b) False
2. 2.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
4. 4.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
6. 6.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) ask different people (d) check who is missing
7. 7.True or false: “ask different people” adds to bias. (a) False (b) True
8. 8.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
10. 10.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
11. 11.True or false: “check who is missing” helps reduce bias. (a) True (b) False
12. 12.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) skip testing (d) ask different people
13. 13.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
14. 14.Which of these adds to bias? (a) balance the data (b) add varied examples (c) test on one group only (d) check who is missing
15. 15.True or false: “fix wrong labels” adds to bias. (a) True (b) False
16. 16.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
17. 17.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
18. 18.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
19. 19.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
20. 20.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) fix wrong labels (d) use one group only
21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
22. 22.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) ask different people (d) check who is missing
23. 23.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
25. 25.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) skip testing (d) add more of the same
26. 26.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.True or false: “balance the data” adds to bias. (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) add varied examples (d) copy old unfair choices
29. 29.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) use one group only (d) test on many groups
30. 30.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
31. 31.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
32. 32.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
34. 34.True or false: “test on one group only” helps reduce bias. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) add varied examples (d) ignore complaints
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.Which of these adds to bias? (a) ask different people (b) add varied examples (c) fix wrong labels (d) copy old unfair choices
38. 38.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) test on many groups (d) ignore complaints
39. 39.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
40. 40.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias

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