AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 188 · 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: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
2. 2.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
3. 3.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) test on one group only (d) check who is missing
4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
5. 5.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
7. 7.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
8. 8.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) add more of the same (d) ask different people
9. 9.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
10. 10.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) copy old unfair choices (d) test on many groups
11. 11.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
12. 12.True or false: “skip testing” helps reduce bias. (a) False (b) True
13. 13.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) skip testing (d) use one group only
14. 14.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
15. 15.True or false: “check who is missing” helps reduce bias. (a) False (b) True
16. 16.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
17. 17.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) use one group only (d) add more of the same
19. 19.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
20. 20.True or false: “skip testing” adds to bias. (a) True (b) False
21. 21.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) check who is missing (d) test on one group only
22. 22.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
23. 23.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
24. 24.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
25. 25.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
26. 26.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
27. 27.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (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.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
30. 30.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
31. 31.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
32. 32.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) test on one group only (d) add varied examples
33. 33.Which of these adds to bias? (a) test on many groups (b) ask different people (c) add varied examples (d) add more of the same
34. 34.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) balance the data (d) test on many groups
36. 36.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
37. 37.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) add more of the same (d) ignore complaints
38. 38.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
39. 39.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
40. 40.True or false: “add varied examples” helps reduce bias. (a) False (b) True

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