AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 807 · 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: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
2. 2.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
3. 3.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
4. 4.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
5. 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
6. 6.Which of these helps reduce bias? (a) fix wrong labels (b) add more of the same (c) copy old unfair choices (d) ignore complaints
7. 7.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) use one group only (d) test on many groups
8. 8.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ignore complaints (d) fix wrong labels
9. 9.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) test on one group only (b) add varied examples (c) copy old unfair choices (d) skip testing
11. 11.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) add more of the same (d) fix wrong labels
12. 12.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
13. 13.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
14. 14.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) test on many groups (d) ignore complaints
15. 15.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
16. 16.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
17. 17.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) skip testing (d) check who is missing
18. 18.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
19. 19.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
20. 20.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
21. 21.True or false: “add more of the same” adds to bias. (a) True (b) False
22. 22.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
24. 24.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
25. 25.True or false: “use one group only” helps reduce bias. (a) True (b) False
26. 26.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) skip testing (d) test on many groups
28. 28.True or false: “add more of the same” helps reduce bias. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) check who is missing (d) add more of the same
30. 30.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) ask different people (d) copy old unfair choices
31. 31.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
32. 32.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
34. 34.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
35. 35.True or false: “balance the data” helps reduce bias. (a) True (b) False
36. 36.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) skip testing (d) fix wrong labels
38. 38.True or false: “check who is missing” adds to bias. (a) False (b) True
39. 39.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) add varied examples (d) fix wrong labels

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