AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 537 · 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.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
2. 2.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
3. 3.True or false: “check who is missing” helps reduce bias. (a) True (b) False
4. 4.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) ask different people (d) copy old unfair choices
5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
7. 7.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) use one group only
8. 8.True or false: “test on many groups” adds to bias. (a) True (b) False
9. 9.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
10. 10.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
12. 12.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) add varied examples (d) add more of the same
13. 13.Which of these helps reduce bias? (a) copy old unfair choices (b) fix wrong labels (c) test on one group only (d) add more of the same
14. 14.True or false: “ask different people” adds to bias. (a) True (b) False
15. 15.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
16. 16.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
17. 17.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) check who is missing (d) use one group only
18. 18.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
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.True or false: “ask different people” helps reduce bias. (a) False (b) True
21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
22. 22.True or false: “add more of the same” adds to bias. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) use one group only (d) balance the data
24. 24.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
26. 26.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
27. 27.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
28. 28.Which of these adds to bias? (a) ask different people (b) add varied examples (c) skip testing (d) check who is missing
29. 29.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
31. 31.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) add varied examples (d) skip testing
32. 32.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
33. 33.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) ask different people (d) ignore complaints
34. 34.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) fix wrong labels (d) test on many groups
35. 35.Which of these adds to bias? (a) add varied examples (b) ask different people (c) balance the data (d) use one group only
36. 36.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
37. 37.True or false: “balance the data” helps reduce bias. (a) False (b) True
38. 38.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
39. 39.Which of these adds to bias? (a) copy old unfair choices (b) check who is missing (c) add varied examples (d) test on many groups
40. 40.Which of these adds to bias? (a) check who is missing (b) ask different people (c) test on one group only (d) fix wrong labels

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