AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 650 · 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: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
2. 2.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
3. 3.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) test on one group only (d) copy old unfair choices
5. 5.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) balance the data (d) copy old unfair choices
6. 6.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
7. 7.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
8. 8.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
9. 9.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
11. 11.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
13. 13.True or false: “check who is missing” adds to bias. (a) True (b) False
14. 14.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
15. 15.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) add varied examples (d) test on one group only
17. 17.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
19. 19.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) fix wrong labels (d) check who is missing
20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
21. 21.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
22. 22.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) test on many groups (d) ask different people
23. 23.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) copy old unfair choices (d) ignore complaints
24. 24.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) add varied examples (d) add more of the same
25. 25.🖼️ 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
26. 26.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
27. 27.Which of these adds to bias? (a) balance the data (b) ask different people (c) add varied examples (d) ignore complaints
28. 28.Which of these helps reduce bias? (a) ignore complaints (b) test on many groups (c) test on one group only (d) skip testing
29. 29.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) fix wrong labels (d) test on one group only
30. 30.True or false: “test on many groups” adds to bias. (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) ask different people (d) use one group only
32. 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
33. 33.Which of these helps reduce bias? (a) add varied examples (b) copy old unfair choices (c) add more of the same (d) use one group only
34. 34.Which of these adds to bias? (a) balance the data (b) ask different people (c) use one group only (d) test on many groups
35. 35.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
36. 36.True or false: “ignore complaints” adds to bias. (a) True (b) False
37. 37.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
38. 38.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
39. 39.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) check who is missing (d) fix wrong labels
40. 40.True or false: “add varied examples” adds to bias. (a) True (b) False

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