AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 866 · 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 of many ages and skin tones? (a) one-sided data (b) balanced data
2. 2.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) copy old unfair choices (d) test on many groups
3. 3.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) ignore complaints (d) balance the data
4. 4.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) add varied examples (d) fix wrong labels
5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
6. 6.True or false: “ask different people” adds to bias. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) use one group only (d) add varied examples
8. 8.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
9. 9.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
10. 10.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
11. 11.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) ignore complaints (d) skip testing
12. 12.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
13. 13.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) check who is missing (d) test on many groups
14. 14.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) check who is missing (d) copy old unfair choices
16. 16.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
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.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
19. 19.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) ask different people (d) test on one group only
21. 21.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
22. 22.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) add more of the same (d) check who is missing
23. 23.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
25. 25.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
27. 27.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
28. 28.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
29. 29.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
31. 31.True or false: “balance the data” adds to bias. (a) False (b) True
32. 32.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
33. 33.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
34. 34.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
35. 35.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
36. 36.True or false: “ask different people” helps reduce bias. (a) False (b) True
37. 37.Which of these adds to bias? (a) ask different people (b) add varied examples (c) ignore complaints (d) balance the data
38. 38.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
39. 39.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) skip testing (d) ask different people
40. 40.True or false: “use one group only” helps reduce bias. (a) True (b) False

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