AI Bias Worksheet for Kids

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

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