AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 711 · 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 is the odd one out? (a) test on one group only (b) copy old unfair choices (c) add more of the same (d) fix wrong labels
2. 2.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
4. 4.True or false: “balance the data” adds to bias. (a) False (b) True
5. 5.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) use one group only (d) ignore complaints
7. 7.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
8. 8.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
9. 9.True or false: “skip testing” adds to bias. (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) test on many groups (d) add varied examples
11. 11.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
12. 12.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
13. 13.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) balance the data (d) add more of the same
14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
15. 15.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
17. 17.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.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
19. 19.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
20. 20.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
21. 21.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) ask different people (d) use one group only
22. 22.Which of these adds to bias? (a) use one group only (b) check who is missing (c) fix wrong labels (d) test on many groups
23. 23.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
24. 24.🗣️ 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
25. 25.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
26. 26.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
27. 27.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
28. 28.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) copy old unfair choices (d) skip testing
29. 29.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) test on one group only (d) skip testing
31. 31.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) ignore complaints
32. 32.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) ignore complaints (d) test on many groups
34. 34.True or false: “add more of the same” helps reduce bias. (a) False (b) True
35. 35.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
36. 36.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) skip testing (d) add varied examples
37. 37.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) use one group only (d) copy old unfair choices
38. 38.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
39. 39.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
40. 40.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data

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