AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 492 · 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: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
3. 3.True or false: “balance the data” adds to bias. (a) False (b) True
4. 4.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
5. 5.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
7. 7.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
8. 8.True or false: “test on one group only” helps reduce bias. (a) False (b) True
9. 9.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
10. 10.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
11. 11.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
12. 12.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) skip testing (d) copy old unfair choices
13. 13.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
14. 14.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) ask different people (d) ignore complaints
15. 15.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
16. 16.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.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
18. 18.True or false: “use one group only” helps reduce bias. (a) True (b) False
19. 19.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
20. 20.Which of these helps reduce bias? (a) balance the data (b) ignore complaints (c) copy old unfair choices (d) test on one group only
21. 21.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
22. 22.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) test on one group only (d) copy old unfair choices
23. 23.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) add more of the same (d) balance the data
24. 24.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
25. 25.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
26. 26.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
27. 27.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) ask different people (d) test on one group only
28. 28.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.True or false: “check who is missing” helps reduce bias. (a) False (b) True
31. 31.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
32. 32.Which of these adds to bias? (a) fix wrong labels (b) use one group only (c) test on many groups (d) balance the data
33. 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) ignore complaints (d) skip testing
34. 34.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
35. 35.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
36. 36.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) check who is missing (d) copy old unfair choices
37. 37.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) balance the data (d) test on many groups
38. 38.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
39. 39.True or false: “check who is missing” adds to bias. (a) True (b) False
40. 40.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True

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