AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 905 · 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 of these helps reduce bias? (a) use one group only (b) ask different people (c) skip testing (d) copy old unfair choices
2. 2.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) test on many groups (d) fix wrong labels
3. 3.True or false: “skip testing” adds to bias. (a) True (b) False
4. 4.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) test on one group only
5. 5.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
6. 6.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
7. 7.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
9. 9.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) copy old unfair choices
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
11. 11.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
12. 12.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) test on many groups (d) test on one group only
13. 13.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
14. 14.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
15. 15.True or false: “skip testing” helps reduce bias. (a) False (b) True
16. 16.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) copy old unfair choices (d) add varied examples
17. 17.Which of these helps reduce bias? (a) balance the data (b) skip testing (c) add more of the same (d) copy old unfair choices
18. 18.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
19. 19.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
20. 20.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
21. 21.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) skip testing (d) balance the data
22. 22.True or false: “add varied examples” helps reduce bias. (a) False (b) True
23. 23.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
24. 24.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
25. 25.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
26. 26.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) fix wrong labels (d) test on many groups
27. 27.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
28. 28.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
29. 29.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
30. 30.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
31. 31.True or false: “ignore complaints” adds to bias. (a) True (b) False
32. 32.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
33. 33.Which of these adds to bias? (a) balance the data (b) ask different people (c) fix wrong labels (d) use one group only
34. 34.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.Which of these adds to bias? (a) test on many groups (b) skip testing (c) ask different people (d) check who is missing
36. 36.True or false: “add more of the same” helps reduce bias. (a) True (b) False
37. 37.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
38. 38.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) add varied examples (d) test on one group only
39. 39.True or false: “test on one group only” adds to bias. (a) False (b) True
40. 40.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias

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