AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 137 · 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) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
2. 2.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
4. 4.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) ignore complaints (d) add more of the same
5. 5.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
6. 6.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) add varied examples (d) test on one group only
7. 7.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
8. 8.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
10. 10.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
11. 11.True or false: “add more of the same” adds to bias. (a) False (b) True
12. 12.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
13. 13.Which of these adds to bias? (a) ask different people (b) test on many groups (c) ignore complaints (d) fix wrong labels
14. 14.True or false: “add varied examples” adds to bias. (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) balance the data (d) copy old unfair choices
16. 16.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) balance the data (d) test on many groups
17. 17.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) ask different people (d) test on one group only
18. 18.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
19. 19.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
20. 20.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
21. 21.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
22. 22.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
24. 24.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) test on many groups (d) use one group only
26. 26.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
27. 27.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) copy old unfair choices (d) add varied examples
28. 28.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
29. 29.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) use one group only
30. 30.Which of these adds to bias? (a) balance the data (b) add varied examples (c) add more of the same (d) test on many groups
31. 31.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
32. 32.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
33. 33.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
34. 34.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
35. 35.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) ask different people (d) test on one group only
37. 37.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
38. 38.True or false: “check who is missing” helps reduce bias. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) use one group only (d) copy old unfair choices
40. 40.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

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