AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 514 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
2. 2.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
3. 3.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
4. 4.True or false: “check who is missing” helps reduce bias. (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) ask different people (d) add varied examples
6. 6.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
7. 7.🗣️ 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) few child voices in data (d) the phone was new
8. 8.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
9. 9.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
10. 10.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
11. 11.True or false: “add more of the same” helps reduce bias. (a) False (b) True
12. 12.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
13. 13.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) test on many groups
14. 14.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
15. 15.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) test on many groups (d) test on one group only
16. 16.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
17. 17.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
18. 18.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
19. 19.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
20. 20.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
21. 21.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) test on many groups (d) ignore complaints
22. 22.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) ignore complaints (d) copy old unfair choices
24. 24.True or false: “test on many groups” helps reduce bias. (a) False (b) True
25. 25.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
26. 26.True or false: “use one group only” adds to bias. (a) False (b) True
27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
28. 28.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) ignore complaints (d) test on many groups
29. 29.True or false: “skip testing” helps reduce bias. (a) False (b) True
30. 30.Which of these adds to bias? (a) check who is missing (b) use one group only (c) test on many groups (d) balance the data
31. 31.True or false: “add varied examples” adds to bias. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) check who is missing (d) use one group only
33. 33.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
34. 34.Which of these adds to bias? (a) ask different people (b) test on many groups (c) ignore complaints (d) fix wrong labels
35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
36. 36.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
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) copy old unfair choices (b) use one group only (c) add varied examples (d) add more of the same
39. 39.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) test on one group only (d) add more of the same
40. 40.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes

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