AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 539 · 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.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
2. 2.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
3. 3.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) check who is missing (d) copy old unfair choices
4. 4.True or false: “skip testing” helps reduce bias. (a) False (b) True
5. 5.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
6. 6.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
7. 7.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
9. 9.🗣️ 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
10. 10.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
11. 11.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) fix wrong labels (d) test on many groups
12. 12.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) ignore complaints (d) use one group only
13. 13.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) add more of the same (d) skip testing
14. 14.Which of these adds to bias? (a) balance the data (b) test on many groups (c) add varied examples (d) test on one group only
15. 15.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) check who is missing (d) skip testing
16. 16.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
17. 17.Which of these adds to bias? (a) use one group only (b) fix wrong labels (c) test on many groups (d) check who is missing
18. 18.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) skip testing (d) fix wrong labels
19. 19.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
20. 20.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
21. 21.True or false: “ask different people” adds to bias. (a) True (b) False
22. 22.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
23. 23.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
24. 24.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
25. 25.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
26. 26.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) test on many groups (d) use one group only
27. 27.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
28. 28.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) check who is missing (d) test on one group only
30. 30.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
31. 31.True or false: “test on one group only” helps reduce bias. (a) False (b) True
32. 32.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
33. 33.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) copy old unfair choices (d) use one group only
34. 34.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) test on one group only (d) ignore complaints
36. 36.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
37. 37.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
38. 38.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
39. 39.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
40. 40.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data

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