AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 391 · 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: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
2. 2.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
3. 3.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
4. 4.True or false: “add varied examples” adds to bias. (a) True (b) False
5. 5.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) skip testing (d) check who is missing
7. 7.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
8. 8.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) copy old unfair choices (d) test on one group only
9. 9.Which of these adds to bias? (a) use one group only (b) test on many groups (c) ask different people (d) check who is missing
10. 10.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
11. 11.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
12. 12.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) test on many groups (d) check who is missing
13. 13.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
15. 15.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
17. 17.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
18. 18.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
19. 19.True or false: “add varied examples” helps reduce bias. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) ask different people (d) use one group only
21. 21.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) test on many groups (d) add varied examples
22. 22.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) check who is missing (d) skip testing
23. 23.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
24. 24.True or false: “test on one group only” helps reduce bias. (a) True (b) False
25. 25.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) test on one group only (d) test on many groups
27. 27.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
28. 28.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
29. 29.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.True or false: “use one group only” helps reduce bias. (a) True (b) False
31. 31.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
32. 32.Which of these helps reduce bias? (a) use one group only (b) ask different people (c) skip testing (d) copy old unfair choices
33. 33.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
34. 34.True or false: “test on many groups” adds to bias. (a) False (b) True
35. 35.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
36. 36.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
37. 37.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
38. 38.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) ignore complaints
40. 40.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) ignore complaints (d) check who is missing

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