AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 824 · 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: add varied examples? (a) reduces bias (b) adds to bias
2. 2.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
3. 3.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
4. 4.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
5. 5.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
6. 6.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) test on many groups (d) use one group only
7. 7.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) skip testing (d) check who is missing
8. 8.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
9. 9.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
11. 11.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) add more of the same (d) check who is missing
12. 12.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
13. 13.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) ask different people (d) copy old unfair choices
14. 14.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
15. 15.True or false: “test on one group only” helps reduce bias. (a) True (b) False
16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
17. 17.True or false: “test on many groups” helps reduce bias. (a) False (b) True
18. 18.Which of these adds to bias? (a) ask different people (b) add more of the same (c) balance the data (d) add varied examples
19. 19.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) copy old unfair choices (d) add varied examples
21. 21.True or false: “balance the data” helps reduce bias. (a) True (b) False
22. 22.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
23. 23.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) ignore complaints (d) add more of the same
25. 25.True or false: “check who is missing” adds to bias. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) add varied examples (d) balance the data
27. 27.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
28. 28.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
29. 29.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) balance the data (d) skip testing
30. 30.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
32. 32.True or false: “fix wrong labels” adds to bias. (a) True (b) False
33. 33.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
34. 34.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
35. 35.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
37. 37.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
38. 38.True or false: “add more of the same” helps reduce bias. (a) False (b) True
39. 39.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
40. 40.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias

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