AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 90 · 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.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) check who is missing (d) fix wrong labels
2. 2.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) test on one group only (d) balance the data
3. 3.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
4. 4.🖼️ 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
5. 5.🗣️ 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
6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
7. 7.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) add varied examples (d) test on many groups
8. 8.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
9. 9.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
10. 10.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
11. 11.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
12. 12.Which of these adds to bias? (a) test on one group only (b) check who is missing (c) fix wrong labels (d) balance the data
13. 13.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
14. 14.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
16. 16.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
18. 18.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
19. 19.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) ignore complaints (d) test on many groups
20. 20.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
22. 22.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
23. 23.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
24. 24.True or false: “balance the data” helps reduce bias. (a) True (b) False
25. 25.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
26. 26.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) ask different people (d) skip testing
27. 27.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
28. 28.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) fewer tests (d) one group only
29. 29.True or false: “skip testing” helps reduce bias. (a) True (b) False
30. 30.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
31. 31.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
32. 32.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) ignore complaints (d) add varied examples
33. 33.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) use one group only (d) balance the data
35. 35.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) skip testing (d) use one group only
36. 36.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) skip testing (d) test on many groups
37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
38. 38.Which of these helps reduce bias? (a) fix wrong labels (b) test on one group only (c) add more of the same (d) copy old unfair choices
39. 39.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
40. 40.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False

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