AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 189 · 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: photos of people from only one age group? (a) one-sided data (b) balanced data
2. 2.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
3. 3.True or false: “check who is missing” adds to bias. (a) False (b) True
4. 4.True or false: “test on many groups” adds to bias. (a) True (b) False
5. 5.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) ask different people (d) skip testing
6. 6.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) use one group only (d) check who is missing
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
8. 8.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
10. 10.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) add varied examples (d) check who is missing
11. 11.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
13. 13.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) use one group only (d) copy old unfair choices
14. 14.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
15. 15.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) check who is missing (d) fix wrong labels
17. 17.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
18. 18.True or false: “test on many groups” helps reduce bias. (a) False (b) True
19. 19.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
20. 20.True or false: “test on one group only” helps reduce bias. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) balance the data (d) fix wrong labels
22. 22.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) test on one group only (d) copy old unfair choices
24. 24.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) test on one group only (d) test on many groups
25. 25.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) ignore complaints
26. 26.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
27. 27.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) add varied examples (d) copy old unfair choices
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: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
31. 31.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
32. 32.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) test on many groups (d) skip testing
33. 33.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) check who is missing (d) add more of the same
34. 34.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) use one group only (d) balance the data
35. 35.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) skip testing (d) check who is missing
36. 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
37. 37.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
38. 38.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
39. 39.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True

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