AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 646 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
2. 2.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
3. 3.True or false: “ask different people” helps reduce bias. (a) True (b) False
4. 4.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
5. 5.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) use one group only (d) check who is missing
6. 6.🗣️ 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
7. 7.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) use one group only (d) copy old unfair choices
8. 8.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
9. 9.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
10. 10.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) add more of the same (d) test on many groups
12. 12.True or false: “use one group only” helps reduce bias. (a) True (b) False
13. 13.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
14. 14.True or false: “ask different people” adds to bias. (a) False (b) True
15. 15.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
16. 16.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
17. 17.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
18. 18.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
19. 19.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
20. 20.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
21. 21.True or false: “test on many groups” adds to bias. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) skip testing (d) ask different people
23. 23.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) add varied examples (d) test on one group only
24. 24.Which of these adds to bias? (a) add more of the same (b) ask different people (c) add varied examples (d) test on many groups
25. 25.Which of these adds to bias? (a) check who is missing (b) balance the data (c) test on one group only (d) test on many groups
26. 26.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) fix wrong labels (d) test on one group only
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: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.True or false: “balance the data” helps reduce bias. (a) False (b) True
30. 30.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
31. 31.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
32. 32.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
33. 33.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) use one group only (d) test on many groups
34. 34.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) copy old unfair choices (d) test on one group only
35. 35.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
36. 36.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) add more of the same (d) ask different people
37. 37.True or false: “add more of the same” helps reduce bias. (a) True (b) False
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.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) balance the data (d) copy old unfair choices
40. 40.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True

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