AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 59 · 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.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
2. 2.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) use one group only (d) skip testing
3. 3.🗣️ 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
4. 4.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
5. 5.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) skip testing (d) add more of the same
6. 6.True or false: “test on one group only” adds to bias. (a) True (b) False
7. 7.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
8. 8.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
9. 9.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
10. 10.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
11. 11.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
12. 12.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
13. 13.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) test on many groups (d) ask different people
14. 14.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) add varied examples (d) use one group only
15. 15.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
17. 17.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
18. 18.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) copy old unfair choices (d) ask different people
19. 19.True or false: “skip testing” adds to bias. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) add varied examples (d) skip testing
21. 21.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) add more of the same (d) check who is missing
22. 22.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
24. 24.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
25. 25.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
26. 26.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
27. 27.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
28. 28.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
29. 29.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
32. 32.True or false: “use one group only” adds to bias. (a) True (b) False
33. 33.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
34. 34.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) check who is missing (d) skip testing
35. 35.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
36. 36.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
37. 37.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
38. 38.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) check who is missing (d) balance the data
40. 40.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True

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