AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 201 · 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: mangoes both raw and ripe? (a) one-sided data (b) balanced data
2. 2.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) skip testing (d) balance the data
3. 3.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) test on one group only (d) ignore complaints
4. 4.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) more varied data (d) ignoring mistakes
5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
6. 6.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
7. 7.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
9. 9.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
10. 10.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
12. 12.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) ignore complaints (d) ask different people
13. 13.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.🗣️ 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
15. 15.Which of these adds to bias? (a) check who is missing (b) balance the data (c) use one group only (d) ask different people
16. 16.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) use one group only (d) fix wrong labels
18. 18.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
19. 19.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) balance the data (d) add more of the same
21. 21.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) ignore complaints (d) ask different people
22. 22.Which of these helps reduce bias? (a) test on many groups (b) add more of the same (c) copy old unfair choices (d) test on one group only
23. 23.True or false: “test on many groups” adds to bias. (a) True (b) False
24. 24.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
25. 25.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
26. 26.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) add more of the same (d) ask different people
27. 27.True or false: “test on one group only” helps reduce bias. (a) True (b) False
28. 28.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
29. 29.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
30. 30.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
31. 31.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
32. 32.True or false: “ignore complaints” adds to bias. (a) False (b) True
33. 33.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) add more of the same (d) balance the data
35. 35.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) add more of the same (d) copy old unfair choices
36. 36.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
37. 37.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
38. 38.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
40. 40.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

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