AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 681 · 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: mangoes both raw and ripe? (a) one-sided data (b) balanced data
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
3. 3.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
4. 4.Which of these adds to bias? (a) add more of the same (b) add varied examples (c) ask different people (d) check who is missing
5. 5.Which of these helps reduce bias? (a) fix wrong labels (b) copy old unfair choices (c) use one group only (d) test on one group only
6. 6.True or false: “balance the data” helps reduce bias. (a) True (b) False
7. 7.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
8. 8.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
9. 9.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) test on many groups (d) ignore complaints
10. 10.True or false: “test on many groups” helps reduce bias. (a) True (b) False
11. 11.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
12. 12.True or false: “test on many groups” adds to bias. (a) True (b) False
13. 13.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
14. 14.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
15. 15.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
16. 16.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) ask different people (d) test on many groups
17. 17.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
19. 19.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) add more of the same (d) test on one group only
20. 20.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
21. 21.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
22. 22.True or false: “add varied examples” helps reduce bias. (a) False (b) True
23. 23.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) copy old unfair choices (d) check who is missing
24. 24.Which of these adds to bias? (a) ask different people (b) use one group only (c) balance the data (d) check who is missing
25. 25.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) balance the data (d) ignore complaints
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: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
28. 28.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
29. 29.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
32. 32.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) add varied examples (d) fix wrong labels
33. 33.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
34. 34.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
35. 35.True or false: “balance the data” adds to bias. (a) False (b) True
36. 36.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
37. 37.🗣️ 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) few child voices in data (d) children speak too fast
38. 38.🖼️ 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
39. 39.True or false: “ask different people” adds to bias. (a) False (b) True
40. 40.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests

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