AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 113 · 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: “balance the data” helps reduce bias. (a) False (b) True
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
3. 3.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) check who is missing (d) test on many groups
4. 4.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) check who is missing (d) ignore complaints
5. 5.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
6. 6.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
7. 7.True or false: “use one group only” helps reduce bias. (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) check who is missing (d) ignore complaints
9. 9.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) add more of the same (d) balance the data
11. 11.True or false: “test on many groups” helps reduce bias. (a) True (b) False
12. 12.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
13. 13.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) add more of the same (d) test on one group only
14. 14.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) test on many groups (d) balance the data
15. 15.True or false: “test on one group only” helps reduce bias. (a) True (b) False
16. 16.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced 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 strong battery (d) a fair model
18. 18.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) use one group only (d) test on many groups
19. 19.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
20. 20.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
21. 21.True or false: “add more of the same” helps reduce bias. (a) False (b) True
22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
23. 23.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
24. 24.True or false: “fix wrong labels” adds to bias. (a) False (b) True
25. 25.True or false: “test on one group only” adds to bias. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) add more of the same
27. 27.True or false: “test on many groups” adds to bias. (a) True (b) False
28. 28.True or false: “skip testing” adds to bias. (a) True (b) False
29. 29.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
30. 30.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) use one group only (d) skip testing
31. 31.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
32. 32.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
33. 33.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
34. 34.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
35. 35.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
36. 36.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
37. 37.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
38. 38.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
39. 39.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) ask different people (d) copy old unfair choices
40. 40.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

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