AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 906 · 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: test on many groups? (a) reduces bias (b) adds to bias
2. 2.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) copy old unfair choices (d) skip testing
3. 3.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
4. 4.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
5. 5.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
6. 6.Which of these adds to bias? (a) ask different people (b) balance the data (c) check who is missing (d) test on one group only
7. 7.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) check who is missing (d) test on one group only
8. 8.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) test on one group only (d) use one group only
9. 9.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) add varied examples (d) copy old unfair choices
10. 10.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
12. 12.True or false: “add varied examples” adds to bias. (a) False (b) True
13. 13.Which of these adds to bias? (a) add varied examples (b) balance the data (c) copy old unfair choices (d) ask different people
14. 14.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) fix wrong labels (d) copy old unfair choices
15. 15.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
16. 16.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
17. 17.True or false: “balance the data” helps reduce bias. (a) False (b) True
18. 18.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
19. 19.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) add varied examples (d) ask different people
22. 22.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
23. 23.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
24. 24.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
25. 25.Which of these helps reduce bias? (a) ask different people (b) copy old unfair choices (c) skip testing (d) add more of the same
26. 26.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
27. 27.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
28. 28.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) use one group only (d) copy old unfair choices
29. 29.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
30. 30.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
31. 31.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
32. 32.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) skip testing
33. 33.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
34. 34.🖼️ 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
35. 35.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
36. 36.True or false: “fix wrong labels” adds to bias. (a) False (b) True
37. 37.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
38. 38.True or false: “skip testing” helps reduce bias. (a) True (b) False
39. 39.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) skip testing (d) test on many groups

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