AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 581 · 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: copy old unfair choices? (a) reduces bias (b) adds to bias
2. 2.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
3. 3.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) test on many groups (d) ignore complaints
4. 4.🗣️ 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
5. 5.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training 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.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) add more of the same (d) test on one group only
9. 9.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
10. 10.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
11. 11.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) fix wrong labels (d) add varied examples
12. 12.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
13. 13.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
14. 14.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) balance the data (d) test on many groups
16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
17. 17.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
18. 18.Which of these adds to bias? (a) ask different people (b) use one group only (c) test on many groups (d) fix wrong labels
19. 19.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) skip testing (d) test on many groups
20. 20.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) copy old unfair choices (d) ignore complaints
21. 21.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
22. 22.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
23. 23.True or false: “balance the data” adds to bias. (a) True (b) False
24. 24.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.Which of these adds to bias? (a) test on one group only (b) ask different people (c) check who is missing (d) balance the data
26. 26.True or false: “skip testing” helps reduce bias. (a) True (b) False
27. 27.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
28. 28.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) use one group only (d) balance the data
30. 30.Which of these adds to bias? (a) ask different people (b) balance the data (c) ignore complaints (d) fix wrong labels
31. 31.True or false: “check who is missing” helps reduce bias. (a) False (b) True
32. 32.True or false: “test on one group only” helps reduce bias. (a) True (b) False
33. 33.True or false: “use one group only” helps reduce bias. (a) True (b) False
34. 34.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
35. 35.True or false: “ask different people” adds to bias. (a) False (b) True
36. 36.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
37. 37.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) test on many groups (d) skip testing
39. 39.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) ignore complaints (d) add varied examples
40. 40.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False

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