AI Bias Worksheet for Kids

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

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