AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 324 · 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.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
2. 2.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
3. 3.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) add varied examples (d) skip testing
4. 4.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
5. 5.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
6. 6.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
7. 7.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
8. 8.Which of these adds to bias? (a) balance the data (b) ignore complaints (c) ask different people (d) test on many groups
9. 9.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) test on many groups (d) ignore complaints
10. 10.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) use one group only (d) skip testing
12. 12.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) test on many groups (d) test on one group only
13. 13.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) check who is missing (d) ignore complaints
14. 14.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) check who is missing (d) use one group only
15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
16. 16.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
17. 17.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
18. 18.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) ask different people (d) fix wrong labels
19. 19.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
20. 20.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
23. 23.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
24. 24.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
25. 25.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
26. 26.True or false: “test on one group only” adds to bias. (a) False (b) True
27. 27.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
28. 28.True or false: “use one group only” helps reduce bias. (a) False (b) True
29. 29.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
30. 30.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
31. 31.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) use one group only (d) fix wrong labels
32. 32.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
33. 33.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) copy old unfair choices (d) fix wrong labels
34. 34.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
35. 35.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) test on many groups (d) skip testing
36. 36.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
38. 38.True or false: “skip testing” helps reduce bias. (a) True (b) False
39. 39.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) ignore complaints (d) add varied examples

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