AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 395 · 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) test on one group only (b) fix wrong labels (c) ignore complaints (d) add more of the same
2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
3. 3.Which of these adds to bias? (a) add varied examples (b) ask different people (c) fix wrong labels (d) use one group only
4. 4.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
5. 5.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
6. 6.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
7. 7.True or false: “use one group only” adds to bias. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) copy old unfair choices (d) balance the data
9. 9.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
10. 10.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
11. 11.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
12. 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
13. 13.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) ask different people (d) balance the data
14. 14.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) test on one group only (d) copy old unfair choices
15. 15.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) use one group only (d) ignore complaints
16. 16.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
17. 17.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
20. 20.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
21. 21.True or false: “balance the data” helps reduce bias. (a) False (b) True
22. 22.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
23. 23.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
24. 24.True or false: “ask different people” adds to bias. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) add more of the same (d) check who is missing
26. 26.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
27. 27.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) use one group only (d) test on one group only
28. 28.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
29. 29.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
30. 30.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) test on one group only (d) ignore complaints
31. 31.True or false: “test on one group only” adds to bias. (a) True (b) False
32. 32.True or false: “test on many groups” helps reduce bias. (a) False (b) True
33. 33.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
34. 34.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
37. 37.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
38. 38.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) fix wrong labels (d) test on many groups
40. 40.True or false: “balance the data” adds to bias. (a) True (b) False

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