AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 151 · 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) few child voices in data (c) the phone was new (d) it was a rainy day
2. 2.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
3. 3.True or false: “fix wrong labels” adds to bias. (a) False (b) True
4. 4.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) balance the data (d) copy old unfair choices
5. 5.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) test on one group only (d) fix wrong labels
6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
7. 7.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) skip testing (d) add varied examples
8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
9. 9.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
10. 10.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
11. 11.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
12. 12.True or false: “test on many groups” helps reduce bias. (a) False (b) True
13. 13.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
14. 14.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) ignore complaints (d) fix wrong labels
15. 15.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
16. 16.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
17. 17.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
18. 18.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
19. 19.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) skip testing (d) add more of the same
20. 20.True or false: “ignore complaints” adds to bias. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) balance the data
22. 22.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
23. 23.Which of these adds to bias? (a) ask different people (b) test on one group only (c) check who is missing (d) test on many groups
24. 24.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
25. 25.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
27. 27.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
28. 28.True or false: “balance the data” helps reduce bias. (a) False (b) True
29. 29.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
30. 30.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
31. 31.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
32. 32.True or false: “check who is missing” adds to bias. (a) True (b) False
33. 33.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
34. 34.True or false: “test on many groups” adds to bias. (a) True (b) False
35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
36. 36.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) skip testing (d) fix wrong labels
37. 37.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) fix wrong labels (d) skip testing
38. 38.Which of these helps reduce bias? (a) test on one group only (b) balance the data (c) ignore complaints (d) add more of the same
39. 39.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) add more of the same (d) copy old unfair choices
40. 40.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False

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