AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 148 · 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.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) check who is missing (d) copy old unfair choices
3. 3.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
4. 4.True or false: “skip testing” adds to bias. (a) False (b) True
5. 5.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
6. 6.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
8. 8.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
9. 9.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
10. 10.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
11. 11.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
12. 12.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
13. 13.True or false: “test on many groups” adds to bias. (a) True (b) False
14. 14.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) add more of the same (d) add varied examples
15. 15.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
17. 17.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) test on many groups (d) fix wrong labels
18. 18.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
19. 19.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.Which of these adds to bias? (a) ask different people (b) balance the data (c) fix wrong labels (d) skip testing
21. 21.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
23. 23.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
24. 24.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) use one group only (d) fix wrong labels
25. 25.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
26. 26.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
27. 27.Which of these helps reduce bias? (a) ask different people (b) skip testing (c) test on one group only (d) use one group only
28. 28.🛠️ Does this reduce bias or add to it: balance the data? (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) copy old unfair choices (b) add more of the same (c) test on many groups (d) skip testing
31. 31.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
32. 32.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
33. 33.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) check who is missing (d) test on many groups
35. 35.True or false: “add varied examples” adds to bias. (a) True (b) False
36. 36.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
37. 37.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) add varied examples (d) balance the data
38. 38.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) test on many groups (d) test on one group only
39. 39.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) ignore complaints (d) copy old unfair choices
40. 40.True or false: “use one group only” adds to bias. (a) True (b) False

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