AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 560 · 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 many groups (b) check who is missing (c) fix wrong labels (d) ignore complaints
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) fix wrong labels (b) check who is missing (c) test on many groups (d) use one group only
4. 4.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
5. 5.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
6. 6.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) skip testing (d) test on many groups
7. 7.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) add varied examples (d) ignore complaints
8. 8.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
9. 9.Which of these adds to bias? (a) add varied examples (b) balance the data (c) ask different people (d) ignore complaints
10. 10.True or false: “check who is missing” adds to bias. (a) False (b) True
11. 11.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
12. 12.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
13. 13.True or false: “fix wrong labels” adds to bias. (a) True (b) False
14. 14.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) fix wrong labels (d) skip testing
15. 15.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
16. 16.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
17. 17.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) test on one group only (d) copy old unfair choices
20. 20.True or false: “ask different people” adds to bias. (a) False (b) True
21. 21.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
23. 23.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
24. 24.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) use one group only (d) skip testing
25. 25.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) ignore complaints (d) test on one group only
26. 26.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
27. 27.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
28. 28.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
29. 29.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
30. 30.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) copy old unfair choices (d) balance the data
32. 32.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) ask different people (d) test on one group only
33. 33.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
34. 34.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
36. 36.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
37. 37.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
38. 38.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) check who is missing (d) add varied examples
39. 39.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
40. 40.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True

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