AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 308 · 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) use one group only (b) add more of the same (c) balance the data (d) copy old unfair choices
2. 2.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
3. 3.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
4. 4.🗣️ 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
5. 5.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
6. 6.Which of these adds to bias? (a) balance the data (b) ask different people (c) add varied examples (d) ignore complaints
7. 7.True or false: “add more of the same” helps reduce bias. (a) False (b) True
8. 8.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) use one group only (d) check who is missing
10. 10.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
12. 12.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
13. 13.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
14. 14.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
15. 15.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
17. 17.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
19. 19.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
20. 20.Which of these adds to bias? (a) test on one group only (b) fix wrong labels (c) ask different people (d) test on many groups
21. 21.True or false: “fix wrong labels” adds to bias. (a) False (b) True
22. 22.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
23. 23.True or false: “use one group only” adds to bias. (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) use one group only (d) add more of the same
25. 25.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
26. 26.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
27. 27.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
28. 28.True or false: “test on one group only” helps reduce bias. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) test on many groups (d) balance the data
30. 30.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
31. 31.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) ask different people (d) copy old unfair choices
32. 32.Which of these helps reduce bias? (a) fix wrong labels (b) add more of the same (c) use one group only (d) skip testing
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: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.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
36. 36.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) ignore complaints (d) add more of the same
37. 37.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) test on one group only (d) use one group only
39. 39.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
40. 40.True or false: “test on many groups” helps reduce bias. (a) True (b) False

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