AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 385 · 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.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
2. 2.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
3. 3.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) add varied examples
5. 5.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
7. 7.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
8. 8.True or false: “check who is missing” helps reduce bias. (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) use one group only (d) add more of the same
10. 10.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
11. 11.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
12. 12.True or false: “add varied examples” helps reduce bias. (a) True (b) False
13. 13.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
15. 15.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
16. 16.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
17. 17.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
18. 18.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
19. 19.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
20. 20.🗣️ 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) the phone was new (d) few child voices in data
21. 21.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
22. 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
23. 23.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
24. 24.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
25. 25.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) ask different people (d) copy old unfair choices
26. 26.True or false: “test on many groups” adds to bias. (a) True (b) False
27. 27.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
28. 28.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
29. 29.True or false: “balance the data” adds to bias. (a) False (b) True
30. 30.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
31. 31.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
32. 32.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) test on one group only (d) fix wrong labels
34. 34.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) ignore complaints (d) check who is missing
35. 35.True or false: “check who is missing” adds to bias. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) test on one group only (d) check who is missing
37. 37.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) test on one group only (d) copy old unfair choices
38. 38.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) add varied examples (d) ask different people
39. 39.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) add more of the same
40. 40.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True

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