AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 840 · 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.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
2. 2.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
3. 3.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) copy old unfair choices (d) use one group only
4. 4.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) test on one group only (d) use one group only
5. 5.True or false: “test on one group only” adds to bias. (a) True (b) False
6. 6.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) ignore complaints (d) use one group only
7. 7.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
8. 8.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
9. 9.True or false: “skip testing” helps reduce bias. (a) True (b) False
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
11. 11.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
12. 12.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
13. 13.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
14. 14.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) add more of the same (d) test on many groups
15. 15.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
16. 16.Which of these adds to bias? (a) check who is missing (b) use one group only (c) balance the data (d) fix wrong labels
17. 17.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
19. 19.True or false: “add varied examples” adds to bias. (a) True (b) False
20. 20.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) balance the data (d) skip testing
22. 22.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
23. 23.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
24. 24.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
25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
26. 26.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
27. 27.Which of these adds to bias? (a) ask different people (b) test on many groups (c) ignore complaints (d) fix wrong labels
28. 28.Which of these adds to bias? (a) add varied examples (b) ask different people (c) copy old unfair choices (d) fix wrong labels
29. 29.True or false: “add more of the same” helps reduce bias. (a) True (b) False
30. 30.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
31. 31.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
32. 32.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
33. 33.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) test on many groups
34. 34.True or false: “test on many groups” adds to bias. (a) False (b) True
35. 35.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
36. 36.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
37. 37.True or false: “ask different people” adds to bias. (a) False (b) True
38. 38.Which of these helps reduce bias? (a) fix wrong labels (b) test on one group only (c) skip testing (d) add more of the same
39. 39.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) check who is missing (d) test on one group only

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