AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 742 · 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.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) check who is missing (d) test on many groups
2. 2.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
3. 3.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) balance the data (d) use one group only
4. 4.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
5. 5.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
6. 6.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
7. 7.🖼️ 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
8. 8.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
9. 9.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
10. 10.Which of these adds to bias? (a) ignore complaints (b) add varied examples (c) fix wrong labels (d) test on many groups
11. 11.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
12. 12.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) ignore complaints (d) use one group only
13. 13.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
14. 14.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) use one group only (d) copy old unfair choices
15. 15.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) test on one group only (d) add more of the same
16. 16.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
17. 17.True or false: “test on one group only” helps reduce bias. (a) True (b) False
18. 18.Which of these adds to bias? (a) copy old unfair choices (b) fix wrong labels (c) check who is missing (d) test on many groups
19. 19.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
21. 21.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) test on many groups (d) skip testing
22. 22.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) ask different people (d) add more of the same
23. 23.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) test on many groups (d) add more of the same
24. 24.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) use one group only (d) test on one group only
25. 25.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
26. 26.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
28. 28.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
29. 29.Which of these helps reduce bias? (a) skip testing (b) add varied examples (c) test on one group only (d) copy old unfair choices
30. 30.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) skip testing (d) test on many groups
31. 31.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
32. 32.Which of these adds to bias? (a) ask different people (b) test on many groups (c) add more of the same (d) balance the data
33. 33.True or false: “add varied examples” adds to bias. (a) False (b) True
34. 34.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
35. 35.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
36. 36.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
37. 37.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) skip testing (d) test on one group only
38. 38.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
39. 39.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
40. 40.True or false: “use one group only” helps reduce bias. (a) False (b) True

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