AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 169 · 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: leaves from every season of the year? (a) one-sided data (b) balanced data
2. 2.True or false: “test on many groups” adds to bias. (a) False (b) True
3. 3.True or false: “check who is missing” adds to bias. (a) True (b) False
4. 4.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
5. 5.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
6. 6.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
7. 7.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
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
9. 9.Which of these adds to bias? (a) check who is missing (b) balance the data (c) skip testing (d) fix wrong labels
10. 10.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
11. 11.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
12. 12.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) check who is missing (d) test on one group only
13. 13.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
16. 16.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) ask different people (d) copy old unfair choices
18. 18.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
19. 19.True or false: “add more of the same” helps reduce bias. (a) False (b) True
20. 20.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
21. 21.Which of these adds to bias? (a) ask different people (b) use one group only (c) fix wrong labels (d) balance the data
22. 22.Which of these adds to bias? (a) add varied examples (b) balance the data (c) ask different people (d) add more of the same
23. 23.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
25. 25.True or false: “add varied examples” helps reduce bias. (a) False (b) True
26. 26.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.Which of these helps reduce bias? (a) balance the data (b) skip testing (c) use one group only (d) add more of the same
28. 28.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
29. 29.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
30. 30.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) skip testing (d) copy old unfair choices
31. 31.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
32. 32.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
33. 33.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
34. 34.True or false: “check who is missing” helps reduce bias. (a) True (b) False
35. 35.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
36. 36.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
38. 38.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
39. 39.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) add more of the same (d) check who is missing
40. 40.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) copy old unfair choices (d) add more of the same

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