AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 287 · 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 of these adds to bias? (a) ask different people (b) test on many groups (c) balance the data (d) skip testing
2. 2.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
3. 3.True or false: “add more of the same” adds to bias. (a) True (b) False
4. 4.True or false: “add varied examples” adds to bias. (a) False (b) True
5. 5.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
7. 7.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
9. 9.True or false: “test on one group only” adds to bias. (a) True (b) False
10. 10.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
11. 11.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
12. 12.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
13. 13.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
15. 15.True or false: “test on many groups” helps reduce bias. (a) False (b) True
16. 16.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
17. 17.Which of these helps reduce bias? (a) fix wrong labels (b) use one group only (c) add more of the same (d) skip testing
18. 18.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) test on one group only (d) balance the data
19. 19.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) skip testing (d) copy old unfair choices
20. 20.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) check who is missing (d) add varied examples
21. 21.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
22. 22.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
23. 23.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) balance the data (d) copy old unfair choices
24. 24.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
26. 26.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
27. 27.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
28. 28.True or false: “add varied examples” helps reduce bias. (a) False (b) True
29. 29.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
30. 30.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
31. 31.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) check who is missing (d) balance the data
32. 32.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) copy old unfair choices (d) test on many groups
33. 33.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) copy old unfair choices (d) use one group only
34. 34.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) test on one group only (d) ask different people
35. 35.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
36. 36.Which of these helps reduce bias? (a) ask different people (b) test on one group only (c) use one group only (d) ignore complaints
37. 37.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
38. 38.True or false: “ignore complaints” adds to bias. (a) False (b) True
39. 39.Which of these helps reduce bias? (a) check who is missing (b) copy old unfair choices (c) ignore complaints (d) test on one group only
40. 40.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True

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