AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 504 · 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: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
2. 2.True or false: “test on one group only” helps reduce bias. (a) False (b) True
3. 3.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
5. 5.True or false: “fix wrong labels” adds to bias. (a) False (b) True
6. 6.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
8. 8.True or false: “balance the data” helps reduce bias. (a) False (b) True
9. 9.True or false: “add varied examples” helps reduce bias. (a) True (b) False
10. 10.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
11. 11.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
12. 12.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
13. 13.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) balance the data (d) copy old unfair choices
14. 14.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
15. 15.True or false: “skip testing” adds to bias. (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) add varied examples (d) test on one group only
17. 17.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) copy old unfair choices (d) add varied examples
18. 18.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
19. 19.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) copy old unfair choices (d) ignore complaints
20. 20.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
22. 22.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
23. 23.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
25. 25.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
26. 26.Which of these adds to bias? (a) use one group only (b) add varied examples (c) ask different people (d) check who is missing
27. 27.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) check who is missing
28. 28.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) add varied examples (d) test on many groups
29. 29.Which of these adds to bias? (a) test on many groups (b) balance the data (c) check who is missing (d) test on one group only
30. 30.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
32. 32.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
33. 33.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) add more of the same (d) check who is missing
34. 34.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) add varied examples (d) add more of the same
35. 35.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
36. 36.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
37. 37.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
38. 38.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
39. 39.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
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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