AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 582 · 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: “ignore complaints” adds to bias. (a) True (b) False
2. 2.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
4. 4.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
5. 5.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) add varied examples (d) skip testing
6. 6.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) copy old unfair choices (d) balance the data
7. 7.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
8. 8.True or false: “add more of the same” helps reduce bias. (a) True (b) False
9. 9.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
10. 10.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) copy old unfair choices (d) skip testing
11. 11.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) add varied examples (d) skip testing
12. 12.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
13. 13.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
14. 14.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
15. 15.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
16. 16.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
17. 17.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) test on many groups (d) add varied examples
19. 19.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
20. 20.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
21. 21.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
22. 22.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
23. 23.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
24. 24.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) check who is missing (d) copy old unfair choices
25. 25.Which of these adds to bias? (a) test on many groups (b) ask different people (c) add varied examples (d) use one group only
26. 26.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) ask different people (d) add more of the same
27. 27.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
28. 28.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
29. 29.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
30. 30.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) balance the data (d) check who is missing
31. 31.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
32. 32.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
33. 33.Which of these helps reduce bias? (a) fix wrong labels (b) add more of the same (c) copy old unfair choices (d) ignore complaints
34. 34.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) balance the data (b) use one group only (c) check who is missing (d) add varied examples
36. 36.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
37. 37.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
38. 38.True or false: “test on many groups” helps reduce bias. (a) True (b) False
39. 39.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
40. 40.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data

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