AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 241 · 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: balance the data? (a) adds to bias (b) reduces bias
2. 2.True or false: “balance the data” adds to bias. (a) True (b) False
3. 3.True or false: “ask different people” helps reduce bias. (a) True (b) False
4. 4.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) add varied examples (d) balance the data
5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) the phone was new (d) it was a rainy day
6. 6.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
7. 7.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
8. 8.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
9. 9.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
10. 10.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) ignore complaints (d) copy old unfair choices
11. 11.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
12. 12.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
13. 13.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
14. 14.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
15. 15.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
16. 16.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) add more of the same (d) fix wrong labels
18. 18.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) skip testing (d) add varied examples
19. 19.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
20. 20.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
21. 21.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) ask different people (d) check who is missing
22. 22.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
23. 23.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
24. 24.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
25. 25.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) balance the data (d) fix wrong labels
26. 26.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
27. 27.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
28. 28.True or false: “skip testing” helps reduce bias. (a) True (b) False
29. 29.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
30. 30.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
31. 31.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
32. 32.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) copy old unfair choices (d) test on many groups
33. 33.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
34. 34.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
35. 35.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
37. 37.Which of these adds to bias? (a) test on one group only (b) check who is missing (c) test on many groups (d) add varied examples
38. 38.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
39. 39.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) check who is missing
40. 40.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias

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