AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 784 · 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.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
2. 2.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
3. 3.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
4. 4.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) add more of the same (d) use one group only
5. 5.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) use one group only (d) test on one group only
6. 6.True or false: “check who is missing” helps reduce bias. (a) False (b) True
7. 7.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
9. 9.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
11. 11.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
12. 12.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
13. 13.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
15. 15.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
16. 16.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) test on one group only (d) copy old unfair choices
17. 17.Which of these adds to bias? (a) fix wrong labels (b) copy old unfair choices (c) balance the data (d) check who is missing
18. 18.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ask different people (d) use one group only
19. 19.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
20. 20.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) add more of the same (d) ignore complaints
21. 21.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
22. 22.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
23. 23.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
24. 24.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) test on one group only (d) fix wrong labels
25. 25.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) fix wrong labels (d) ask different people
26. 26.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
27. 27.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) ignore complaints (d) add more of the same
28. 28.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
30. 30.True or false: “ask different people” adds to bias. (a) False (b) True
31. 31.True or false: “balance the data” adds to bias. (a) True (b) False
32. 32.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
33. 33.True or false: “use one group only” adds to bias. (a) True (b) False
34. 34.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
35. 35.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
36. 36.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) ask different people (d) balance the data
37. 37.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
38. 38.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
39. 39.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) test on many groups (d) use one group only
40. 40.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data

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