AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 167 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
3. 3.Which of these helps reduce bias? (a) balance the data (b) copy old unfair choices (c) use one group only (d) add more of the same
4. 4.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
5. 5.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
6. 6.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) copy old unfair choices (d) balance the data
7. 7.Which of these adds to bias? (a) balance the data (b) ignore complaints (c) test on many groups (d) fix wrong labels
8. 8.True or false: “add varied examples” adds to bias. (a) True (b) False
9. 9.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
10. 10.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
12. 12.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) skip testing (d) check who is missing
13. 13.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) use one group only (d) ignore complaints
14. 14.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
15. 15.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) fix wrong labels (d) test on many groups
16. 16.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
17. 17.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) check who is missing (d) add varied examples
19. 19.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) use one group only (d) copy old unfair choices
20. 20.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
21. 21.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
22. 22.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on many groups (d) copy old unfair choices
23. 23.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
25. 25.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
27. 27.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
28. 28.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
29. 29.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
30. 30.Which of these adds to bias? (a) balance the data (b) ask different people (c) fix wrong labels (d) add more of the same
31. 31.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
32. 32.True or false: “balance the data” helps reduce bias. (a) False (b) True
33. 33.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
34. 34.True or false: “ignore complaints” adds to bias. (a) True (b) False
35. 35.Which of these adds to bias? (a) use one group only (b) ask different people (c) check who is missing (d) test on many groups
36. 36.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
38. 38.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
40. 40.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data

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