AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 764 · 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 helps reduce bias? (a) copy old unfair choices (b) skip testing (c) ignore complaints (d) balance the data
2. 2.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
3. 3.Which of these adds to bias? (a) use one group only (b) check who is missing (c) test on many groups (d) add varied examples
4. 4.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
5. 5.Which of these adds to bias? (a) balance the data (b) ask different people (c) test on many groups (d) add more of the same
6. 6.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) test on one group only (d) add more of the same
7. 7.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) ignore complaints (d) copy old unfair choices
8. 8.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
9. 9.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) ask different people (d) check who is missing
11. 11.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) add varied examples (d) check who is missing
12. 12.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
13. 13.Which of these helps reduce bias? (a) ask different people (b) copy old unfair choices (c) use one group only (d) test on one group only
14. 14.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
15. 15.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
16. 16.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
17. 17.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
19. 19.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
20. 20.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) skip testing
21. 21.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.🖼️ 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
23. 23.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
25. 25.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) add more of the same (d) use one group only
26. 26.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
27. 27.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) add more of the same (d) add varied examples
29. 29.🗣️ 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
30. 30.Which of these adds to bias? (a) fix wrong labels (b) copy old unfair choices (c) check who is missing (d) balance the data
31. 31.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) copy old unfair choices (d) test on many groups
32. 32.True or false: “ask different people” helps reduce bias. (a) True (b) False
33. 33.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
34. 34.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
35. 35.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
36. 36.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ignore complaints (d) add varied examples
37. 37.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) ask different people (d) add more of the same
38. 38.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
39. 39.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
40. 40.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True

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