AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 830 · 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 voice app trained only on adult voices? (a) one-sided data (b) balanced data
2. 2.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
3. 3.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
4. 4.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
5. 5.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) test on one group only (d) check who is missing
6. 6.True or false: “test on one group only” adds to bias. (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) check who is missing (d) skip testing
8. 8.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
9. 9.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) fix wrong labels (d) use one group only
10. 10.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
11. 11.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
12. 12.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) fix wrong labels (d) copy old unfair choices
13. 13.Which of these adds to bias? (a) ignore complaints (b) test on many groups (c) ask different people (d) check who is missing
14. 14.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
16. 16.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
17. 17.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) ignore complaints (d) ask different people
18. 18.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
19. 19.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
20. 20.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) use one group only (d) skip testing
21. 21.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
22. 22.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
23. 23.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) test on many groups (d) skip testing
24. 24.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
25. 25.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
27. 27.True or false: “use one group only” adds to bias. (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) skip testing (d) test on one group only
29. 29.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
30. 30.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
33. 33.🔍 Which is the odd one out? (a) test on many groups (b) add more of the same (c) test on one group only (d) use one group only
34. 34.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
35. 35.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
36. 36.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) ignore complaints
37. 37.True or false: “balance the data” helps reduce bias. (a) False (b) True
38. 38.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
40. 40.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) use one group only (d) copy old unfair choices

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