AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 545 · 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.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) skip testing (d) ask different people
2. 2.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
4. 4.True or false: “test on many groups” helps reduce bias. (a) False (b) True
5. 5.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) add more of the same (d) ignore complaints
6. 6.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
8. 8.True or false: “add varied examples” helps reduce bias. (a) False (b) True
9. 9.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
10. 10.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) fix wrong labels (d) skip testing
11. 11.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) check who is missing (d) ignore complaints
12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
13. 13.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
14. 14.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
15. 15.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
16. 16.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
17. 17.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) test on many groups
18. 18.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) add more of the same (d) copy old unfair choices
19. 19.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
20. 20.True or false: “add more of the same” helps reduce bias. (a) False (b) True
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.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
23. 23.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
24. 24.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
25. 25.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
26. 26.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) fix wrong labels (d) check who is missing
27. 27.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) add more of the same (d) balance the data
28. 28.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
30. 30.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) fix wrong labels (d) ask different people
31. 31.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
32. 32.True or false: “balance the data” adds to bias. (a) True (b) False
33. 33.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
34. 34.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
35. 35.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
36. 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
37. 37.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
38. 38.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
39. 39.True or false: “ask different people” adds to bias. (a) True (b) False
40. 40.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) fix wrong labels (d) ignore complaints

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