AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 885 · 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) add more of the same (b) test on one group only (c) use one group only (d) add varied examples
2. 2.Which of these helps reduce bias? (a) check who is missing (b) copy old unfair choices (c) use one group only (d) ignore complaints
3. 3.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
6. 6.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) use one group only (d) test on many groups
7. 7.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
8. 8.True or false: “test on many groups” adds to bias. (a) True (b) False
9. 9.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
11. 11.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
12. 12.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) add varied examples (d) balance the data
13. 13.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
14. 14.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
15. 15.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) ignore complaints (d) test on many groups
16. 16.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
17. 17.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
18. 18.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) test on many groups (d) copy old unfair choices
19. 19.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) skip testing (d) balance the data
20. 20.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
21. 21.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
22. 22.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) check who is missing (d) fix wrong labels
23. 23.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
24. 24.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
25. 25.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
26. 26.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
27. 27.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
28. 28.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.True or false: “balance the data” adds to bias. (a) False (b) True
30. 30.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
31. 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
32. 32.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
33. 33.Which of these adds to bias? (a) fix wrong labels (b) use one group only (c) add varied examples (d) test on many groups
34. 34.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
35. 35.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
36. 36.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
37. 37.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
38. 38.True or false: “add more of the same” helps reduce bias. (a) False (b) True
39. 39.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
40. 40.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) check who is missing (d) balance the data

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