AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 455 · 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: stories with doctors of every gender? (a) balanced data (b) one-sided data
2. 2.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) fix wrong labels (d) ignore complaints
3. 3.True or false: “test on one group only” adds to bias. (a) False (b) True
4. 4.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
5. 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
6. 6.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
7. 7.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
8. 8.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) add more of the same (d) check who is missing
9. 9.🗣️ 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
10. 10.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
11. 11.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) ignore complaints (d) check who is missing
12. 12.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
13. 13.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
14. 14.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
15. 15.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
16. 16.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
17. 17.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
19. 19.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
20. 20.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
21. 21.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
22. 22.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) test on one group only (d) copy old unfair choices
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.True or false: “test on one group only” helps reduce bias. (a) True (b) False
25. 25.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
27. 27.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ask different people (d) test on one group only
28. 28.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
30. 30.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
31. 31.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) copy old unfair choices (d) ignore complaints
32. 32.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) check who is missing (d) use one group only
33. 33.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
34. 34.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
35. 35.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) balance the data (d) add more of the same
36. 36.True or false: “add varied examples” adds to bias. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) use one group only (d) ask different people
38. 38.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
39. 39.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.True or false: “check who is missing” helps reduce bias. (a) False (b) True

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