AI Bias Worksheet for Kids

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

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