AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 284 · 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.Which of these adds to bias? (a) test on one group only (b) test on many groups (c) add varied examples (d) balance the data
2. 2.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
3. 3.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) check who is missing (d) test on many groups
4. 4.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
5. 5.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) ignore complaints (d) ask different people
6. 6.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) balance the data (d) copy old unfair choices
8. 8.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) add varied examples (d) test on one group only
9. 9.True or false: “test on many groups” adds to bias. (a) False (b) True
10. 10.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
11. 11.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
12. 12.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
13. 13.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) balance the data (d) check who is missing
14. 14.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
15. 15.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) ignore complaints (d) test on one group only
17. 17.Which of these helps reduce bias? (a) check who is missing (b) ignore complaints (c) skip testing (d) use one group only
18. 18.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
19. 19.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
20. 20.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
21. 21.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) fix wrong labels (d) balance the data
22. 22.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
23. 23.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) fix wrong labels (d) test on many groups
25. 25.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
26. 26.True or false: “skip testing” helps reduce bias. (a) False (b) True
27. 27.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) balance the data (d) use one group only
28. 28.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
30. 30.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
31. 31.True or false: “test on one group only” adds to bias. (a) False (b) True
32. 32.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on many groups (d) add more of the same
33. 33.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
34. 34.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
35. 35.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
36. 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
37. 37.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
38. 38.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
39. 39.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) copy old unfair choices (d) fix wrong labels
40. 40.Which of these adds to bias? (a) copy old unfair choices (b) balance the data (c) add varied examples (d) ask different people

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