AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 857 · 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: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
2. 2.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
3. 3.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) ask different people (d) add varied examples
4. 4.Which of these adds to bias? (a) use one group only (b) ask different people (c) fix wrong labels (d) balance the data
5. 5.True or false: “ask different people” adds to bias. (a) True (b) False
6. 6.True or false: “check who is missing” helps reduce bias. (a) False (b) True
7. 7.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
8. 8.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
9. 9.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) test on many groups (d) add more of the same
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
11. 11.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
12. 12.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
13. 13.Which of these helps reduce bias? (a) ignore complaints (b) balance the data (c) test on one group only (d) copy old unfair choices
14. 14.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) balance the data (d) test on many groups
15. 15.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
16. 16.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) balance the data (d) add more of the same
17. 17.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) copy old unfair choices (d) ask different people
19. 19.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) ask different people (d) ignore complaints
20. 20.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) add more of the same (d) fix wrong labels
21. 21.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
22. 22.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
23. 23.🗣️ 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) few child voices in data (d) children speak too fast
24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
25. 25.True or false: “test on many groups” adds to bias. (a) False (b) True
26. 26.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
27. 27.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) test on one group only (d) use one group only
29. 29.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
30. 30.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
33. 33.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
34. 34.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) add more of the same (d) use one group only
35. 35.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) ignore complaints (d) test on many groups
36. 36.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
37. 37.True or false: “check who is missing” adds to bias. (a) True (b) False
38. 38.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
40. 40.True or false: “test on one group only” helps reduce bias. (a) False (b) True

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