AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 949 · 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) test on many groups (b) test on one group only (c) ignore complaints (d) add more of the same
2. 2.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
3. 3.Which of these helps reduce bias? (a) copy old unfair choices (b) fix wrong labels (c) ignore complaints (d) skip testing
4. 4.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) check who is missing (d) use one group only
5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
6. 6.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
7. 7.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
8. 8.True or false: “add more of the same” helps reduce bias. (a) True (b) False
9. 9.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
10. 10.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
11. 11.True or false: “test on one group only” helps reduce bias. (a) True (b) False
12. 12.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
13. 13.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
14. 14.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
16. 16.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) fix wrong labels (d) use one group only
17. 17.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) copy old unfair choices (d) skip testing
18. 18.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) test on many groups (d) skip testing
19. 19.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
20. 20.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
21. 21.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
22. 22.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
23. 23.True or false: “skip testing” adds to bias. (a) True (b) False
24. 24.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) skip testing (d) ask different people
25. 25.🔍 Which is the odd one out? (a) add more of the same (b) balance the data (c) ask different people (d) fix wrong labels
26. 26.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) add varied examples (d) skip testing
27. 27.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
28. 28.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.Which of these adds to bias? (a) ignore complaints (b) ask different people (c) fix wrong labels (d) balance the data
30. 30.Which of these adds to bias? (a) use one group only (b) ask different people (c) fix wrong labels (d) check who is missing
31. 31.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
32. 32.Which of these adds to bias? (a) ask different people (b) add varied examples (c) copy old unfair choices (d) test on many groups
33. 33.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
34. 34.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
35. 35.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
36. 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
37. 37.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
38. 38.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
40. 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias

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