AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 279 · 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) True (b) False
2. 2.Which of these adds to bias? (a) test on many groups (b) test on one group only (c) check who is missing (d) balance the data
3. 3.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
4. 4.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
5. 5.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.True or false: “ignore complaints” adds to bias. (a) True (b) False
7. 7.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
8. 8.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) test on one group only (d) use one group only
10. 10.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) copy old unfair choices (d) ignore complaints
11. 11.True or false: “balance the data” adds to bias. (a) False (b) True
12. 12.Which of these adds to bias? (a) ignore complaints (b) check who is missing (c) ask different people (d) add varied examples
13. 13.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) use one group only (d) ask different people
14. 14.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
15. 15.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) skip testing (d) ask different people
16. 16.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
17. 17.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) ignore complaints (d) add more of the same
19. 19.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.Which of these helps reduce bias? (a) test on one group only (b) add varied examples (c) add more of the same (d) skip testing
21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
22. 22.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) test on many groups (d) skip testing
23. 23.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) ignore complaints (d) add varied examples
24. 24.Which of these adds to bias? (a) use one group only (b) add varied examples (c) test on many groups (d) fix wrong labels
25. 25.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
26. 26.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
27. 27.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
28. 28.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
29. 29.True or false: “check who is missing” adds to bias. (a) True (b) False
30. 30.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) add more of the same (d) ask different people
31. 31.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) fix wrong labels (d) use one group only
32. 32.True or false: “check who is missing” helps reduce bias. (a) False (b) True
33. 33.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
34. 34.True or false: “balance the data” helps reduce bias. (a) False (b) True
35. 35.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
36. 36.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) copy old unfair choices
37. 37.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
38. 38.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
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.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False

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