AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 701 · 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: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
2. 2.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
4. 4.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) copy old unfair choices (d) fix wrong labels
5. 5.🖼️ 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
6. 6.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) add more of the same (d) fix wrong labels
7. 7.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
8. 8.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
9. 9.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) add varied examples (d) copy old unfair choices
10. 10.True or false: “add varied examples” helps reduce bias. (a) False (b) True
11. 11.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
12. 12.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
13. 13.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
14. 14.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) fix wrong labels (d) use one group only
15. 15.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
16. 16.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
17. 17.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) fix wrong labels (d) test on one group only
18. 18.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
19. 19.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) use one group only (d) ask different people
20. 20.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) test on many groups (d) test on one group only
21. 21.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) add varied examples (d) test on many groups
22. 22.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
23. 23.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) add varied examples (d) copy old unfair choices
24. 24.True or false: “add more of the same” adds to bias. (a) False (b) True
25. 25.Which of these adds to bias? (a) test on one group only (b) balance the data (c) check who is missing (d) ask different people
26. 26.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
27. 27.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
28. 28.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
29. 29.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
30. 30.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
31. 31.True or false: “fix wrong labels” adds to bias. (a) False (b) True
32. 32.True or false: “test on many groups” adds to bias. (a) False (b) True
33. 33.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
35. 35.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) skip testing (d) check who is missing
36. 36.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
37. 37.Which of these adds to bias? (a) check who is missing (b) copy old unfair choices (c) fix wrong labels (d) add varied examples
38. 38.True or false: “check who is missing” helps reduce bias. (a) True (b) False
39. 39.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
40. 40.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data

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