AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 291 · 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.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
2. 2.Which of these helps reduce bias? (a) test on one group only (b) balance the data (c) use one group only (d) ignore complaints
3. 3.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
4. 4.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
7. 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
8. 8.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) add more of the same (d) test on one group only
10. 10.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) add varied examples (d) check who is missing
11. 11.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
12. 12.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
13. 13.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
14. 14.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
15. 15.Which of these adds to bias? (a) copy old unfair choices (b) check who is missing (c) test on many groups (d) add varied examples
16. 16.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) use one group only (d) fix wrong labels
17. 17.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
19. 19.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
20. 20.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.True or false: “use one group only” helps reduce bias. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) balance the data (d) ask different people
23. 23.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
25. 25.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
26. 26.True or false: “test on one group only” adds to bias. (a) True (b) False
27. 27.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
28. 28.Which of these helps reduce bias? (a) ask different people (b) ignore complaints (c) use one group only (d) skip testing
29. 29.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
30. 30.🗣️ 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
31. 31.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) use one group only (d) balance the data
32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
33. 33.True or false: “add more of the same” helps reduce bias. (a) True (b) False
34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
35. 35.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
36. 36.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) copy old unfair choices (d) skip testing
37. 37.True or false: “balance the data” adds to bias. (a) True (b) False
38. 38.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
39. 39.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
40. 40.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias

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