AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 275 · 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: “fix wrong labels” adds to bias. (a) False (b) True
2. 2.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
3. 3.Which of these helps reduce bias? (a) test on one group only (b) test on many groups (c) copy old unfair choices (d) skip testing
4. 4.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
5. 5.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
6. 6.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
7. 7.🔍 Which is the odd one out? (a) skip testing (b) check who is missing (c) copy old unfair choices (d) test on one group only
8. 8.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.True or false: “skip testing” adds to bias. (a) False (b) True
10. 10.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
11. 11.🗣️ 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) the phone was new (d) it was a rainy day
12. 12.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) balance the data (d) skip testing
13. 13.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) test on many groups (d) add varied examples
14. 14.True or false: “skip testing” helps reduce bias. (a) True (b) False
15. 15.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
16. 16.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
17. 17.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
18. 18.Which of these helps reduce bias? (a) use one group only (b) ask different people (c) ignore complaints (d) add more of the same
19. 19.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
21. 21.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
22. 22.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
23. 23.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
24. 24.Which of these adds to bias? (a) add more of the same (b) test on many groups (c) ask different people (d) fix wrong labels
25. 25.Which of these adds to bias? (a) ask different people (b) add varied examples (c) test on many groups (d) copy old unfair choices
26. 26.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) ask different people
27. 27.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
28. 28.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
29. 29.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
30. 30.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) use one group only (d) fix wrong labels
31. 31.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
32. 32.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) use one group only (d) add more of the same
33. 33.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
34. 34.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
35. 35.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
36. 36.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) copy old unfair choices (d) test on many groups
37. 37.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) add more of the same (d) test on many groups
38. 38.True or false: “check who is missing” adds to bias. (a) True (b) False
39. 39.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
40. 40.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) ask different people (d) check who is missing

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