AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 297 · 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.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
2. 2.True or false: “ask different people” adds to bias. (a) True (b) False
3. 3.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
4. 4.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) skip testing (d) ask different people
5. 5.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
6. 6.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
7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
8. 8.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
9. 9.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
10. 10.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
11. 11.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) ignore complaints (d) use one group only
12. 12.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
13. 13.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
14. 14.True or false: “use one group only” adds to bias. (a) True (b) False
15. 15.True or false: “skip testing” helps reduce bias. (a) False (b) True
16. 16.True or false: “test on one group only” adds to bias. (a) True (b) False
17. 17.True or false: “balance the data” helps reduce bias. (a) True (b) False
18. 18.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) test on many groups (d) add varied examples
20. 20.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
22. 22.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) use one group only (d) balance the data
23. 23.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
24. 24.True or false: “add more of the same” adds to bias. (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
26. 26.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
27. 27.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
28. 28.True or false: “check who is missing” helps reduce bias. (a) True (b) False
29. 29.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) test on one group only (d) add varied examples
30. 30.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
31. 31.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) ask different people (d) copy old unfair choices
32. 32.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
33. 33.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
34. 34.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
35. 35.🔍 Which is the odd one out? (a) add more of the same (b) balance the data (c) add varied examples (d) ask different people
36. 36.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) use one group only (d) check who is missing
37. 37.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) use one group only (d) add more of the same
38. 38.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) add varied examples (d) copy old unfair choices
39. 39.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) check who is missing (d) copy old unfair choices
40. 40.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) ignore complaints (d) copy old unfair choices

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