AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 144 · 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.True or false: “skip testing” helps reduce bias. (a) False (b) True
2. 2.True or false: “ask different people” helps reduce bias. (a) True (b) False
3. 3.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
4. 4.True or false: “test on many groups” helps reduce bias. (a) False (b) True
5. 5.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.Which of these helps reduce bias? (a) add varied examples (b) copy old unfair choices (c) skip testing (d) add more of the same
7. 7.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) ignore complaints (d) ask different people
9. 9.Which of these adds to bias? (a) use one group only (b) ask different people (c) add varied examples (d) test on many groups
10. 10.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
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: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
13. 13.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) test on one group only (d) check who is missing
14. 14.True or false: “check who is missing” adds to bias. (a) False (b) True
15. 15.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
16. 16.True or false: “balance the data” adds to bias. (a) False (b) True
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 strong battery (d) a fair model
18. 18.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
19. 19.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
20. 20.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
21. 21.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
22. 22.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) skip testing (d) test on many groups
23. 23.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) ignore complaints (d) fix wrong labels
24. 24.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) test on many groups (d) test on one group only
26. 26.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
28. 28.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) ask different people (d) use one group only
29. 29.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
31. 31.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) add more of the same (d) balance the data
32. 32.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
34. 34.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
35. 35.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
37. 37.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
38. 38.Which of these adds to bias? (a) check who is missing (b) balance the data (c) skip testing (d) fix wrong labels
39. 39.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
40. 40.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias

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