AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 366 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
3. 3.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) test on one group only (d) fix wrong labels
4. 4.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) add more of the same (d) skip testing
6. 6.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
7. 7.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
8. 8.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
9. 9.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) skip testing (d) ask different people
10. 10.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
11. 11.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
12. 12.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
13. 13.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
14. 14.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) check who is missing (d) ignore complaints
15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
16. 16.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
17. 17.True or false: “test on many groups” adds to bias. (a) False (b) True
18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
19. 19.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
20. 20.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
22. 22.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
24. 24.True or false: “add varied examples” helps reduce bias. (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
26. 26.Which of these adds to bias? (a) check who is missing (b) skip testing (c) ask different people (d) balance the data
27. 27.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
28. 28.True or false: “skip testing” adds to bias. (a) True (b) False
29. 29.Which of these helps reduce bias? (a) use one group only (b) check who is missing (c) add more of the same (d) skip testing
30. 30.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
31. 31.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) test on one group only (d) ask different people
32. 32.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) ignore complaints (d) test on many groups
33. 33.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.Which of these helps reduce bias? (a) fix wrong labels (b) use one group only (c) add more of the same (d) test on one group only
35. 35.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
36. 36.Which of these helps reduce bias? (a) add varied examples (b) copy old unfair choices (c) skip testing (d) use one group only
37. 37.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) add more of the same (d) ignore complaints
38. 38.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) balance the data (d) add varied examples
39. 39.Which of these adds to bias? (a) fix wrong labels (b) use one group only (c) add varied examples (d) balance the data
40. 40.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) balance the data (d) test on many groups

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