AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 329 · 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.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
3. 3.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
4. 4.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
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.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
8. 8.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
9. 9.Which of these adds to bias? (a) test on many groups (b) test on one group only (c) fix wrong labels (d) balance the data
10. 10.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
11. 11.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) use one group only (d) ignore complaints
12. 12.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) test on many groups (d) use one group only
13. 13.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
14. 14.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
15. 15.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) use one group only (d) copy old unfair choices
16. 16.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
17. 17.True or false: “ask different people” adds to bias. (a) False (b) True
18. 18.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
19. 19.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
20. 20.True or false: “balance the data” adds to bias. (a) True (b) False
21. 21.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
22. 22.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
23. 23.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
25. 25.True or false: “ignore complaints” adds to bias. (a) True (b) False
26. 26.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
27. 27.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
28. 28.True or false: “check who is missing” adds to bias. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) fix wrong labels (d) balance the data
30. 30.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) use one group only (d) test on many groups
31. 31.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
32. 32.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) copy old unfair choices (d) add more of the same
33. 33.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
34. 34.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) add more of the same (d) skip testing
36. 36.Which of these adds to bias? (a) balance the data (b) check who is missing (c) test on many groups (d) add more of the same
37. 37.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
38. 38.True or false: “add more of the same” adds to bias. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) add more of the same (d) use one group only
40. 40.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) test on many groups (d) copy old unfair choices

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