AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 844 · 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.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
2. 2.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) fix wrong labels (d) test on many groups
3. 3.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
4. 4.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
5. 5.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
6. 6.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
7. 7.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
9. 9.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
10. 10.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) ask different people (d) test on one group only
11. 11.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
12. 12.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
13. 13.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
14. 14.True or false: “skip testing” helps reduce bias. (a) True (b) False
15. 15.Which of these helps reduce bias? (a) copy old unfair choices (b) balance the data (c) test on one group only (d) skip testing
16. 16.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
17. 17.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
18. 18.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
19. 19.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
20. 20.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) test on one group only (d) copy old unfair choices
21. 21.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
22. 22.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
23. 23.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
24. 24.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) use one group only (d) ask different people
25. 25.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
26. 26.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) test on many groups
27. 27.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
28. 28.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) copy old unfair choices (d) balance the data
29. 29.True or false: “add varied examples” helps reduce bias. (a) False (b) True
30. 30.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
31. 31.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) test on one group only (d) copy old unfair choices
32. 32.True or false: “skip testing” adds to bias. (a) False (b) True
33. 33.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
34. 34.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
35. 35.Which of these helps reduce bias? (a) check who is missing (b) ignore complaints (c) test on one group only (d) add more of the same
36. 36.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) fix wrong labels (d) test on one group only
37. 37.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) test on one group only (d) balance the data
38. 38.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) skip testing (d) ask different people
39. 39.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
40. 40.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True

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