AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 406 · 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: “fix wrong labels” adds to bias. (a) False (b) True
2. 2.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
3. 3.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) use one group only (d) skip testing
4. 4.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
6. 6.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
7. 7.Which of these adds to bias? (a) ask different people (b) test on many groups (c) add varied examples (d) ignore complaints
8. 8.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) ask different people (d) add more of the same
9. 9.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) test on many groups (d) ask different people
10. 10.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
12. 12.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
14. 14.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) check who is missing
15. 15.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
16. 16.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
17. 17.Which of these helps reduce bias? (a) test on many groups (b) skip testing (c) test on one group only (d) copy old unfair choices
18. 18.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) add varied examples (d) test on many groups
19. 19.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
20. 20.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
21. 21.Which of these helps reduce bias? (a) check who is missing (b) copy old unfair choices (c) test on one group only (d) use one group only
22. 22.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) test on many groups (d) check who is missing
23. 23.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
24. 24.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) test on many groups (d) test on one group only
25. 25.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) balance the data (d) copy old unfair choices
26. 26.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
27. 27.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) check who is missing (d) test on many groups
28. 28.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
29. 29.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
30. 30.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
31. 31.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) fix wrong labels (d) add more of the same
32. 32.True or false: “check who is missing” adds to bias. (a) False (b) True
33. 33.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
34. 34.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
36. 36.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
37. 37.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
38. 38.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
39. 39.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
40. 40.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias

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