AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 902 · 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.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
2. 2.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) ignore complaints (d) test on many groups
3. 3.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
4. 4.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
5. 5.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
6. 6.True or false: “add varied examples” adds to bias. (a) True (b) False
7. 7.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
8. 8.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
9. 9.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) add more of the same (d) skip testing
10. 10.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
11. 11.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) ignore complaints (d) balance the data
12. 12.Which of these adds to bias? (a) check who is missing (b) skip testing (c) ask different people (d) fix wrong labels
13. 13.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) check who is missing (d) copy old unfair choices
14. 14.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
15. 15.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
16. 16.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
17. 17.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
18. 18.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
20. 20.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) skip testing (d) copy old unfair choices
21. 21.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) add more of the same (d) add varied examples
22. 22.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
23. 23.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
24. 24.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
26. 26.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
27. 27.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
28. 28.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
29. 29.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) test on many groups (d) copy old unfair choices
30. 30.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
31. 31.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
32. 32.True or false: “fix wrong labels” adds to bias. (a) True (b) False
33. 33.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) balance the data (d) skip testing
35. 35.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
36. 36.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) check who is missing (d) ask different people
39. 39.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
40. 40.Which of these adds to bias? (a) ask different people (b) balance the data (c) use one group only (d) test on many groups

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