AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 907 · 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.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
2. 2.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
3. 3.Which of these adds to bias? (a) balance the data (b) check who is missing (c) ignore complaints (d) add varied examples
4. 4.True or false: “balance the data” adds to bias. (a) False (b) True
5. 5.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) ask different people (d) ignore complaints
6. 6.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
7. 7.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
8. 8.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
9. 9.🗣️ 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) it was a rainy day (d) the phone was new
10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
11. 11.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
12. 12.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
13. 13.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
14. 14.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) fix wrong labels (d) ignore complaints
15. 15.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
16. 16.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) check who is missing (d) use one group only
17. 17.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
18. 18.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
19. 19.True or false: “add more of the same” adds to bias. (a) True (b) False
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
21. 21.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
22. 22.Which of these adds to bias? (a) use one group only (b) check who is missing (c) test on many groups (d) fix wrong labels
23. 23.🔍 Which is the odd one out? (a) add more of the same (b) balance the data (c) test on many groups (d) check who is missing
24. 24.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
25. 25.Which of these adds to bias? (a) ask different people (b) add more of the same (c) check who is missing (d) test on many groups
26. 26.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) ask different people (d) use one group only
27. 27.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) use one group only (d) skip testing
28. 28.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
29. 29.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
30. 30.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.True or false: “add more of the same” helps reduce bias. (a) False (b) True
32. 32.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
33. 33.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (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.Which of these adds to bias? (a) test on one group only (b) balance the data (c) test on many groups (d) add varied examples
36. 36.🔍 Which is the odd one out? (a) balance the data (b) ignore complaints (c) add varied examples (d) check who is missing
37. 37.True or false: “copy old unfair choices” adds to bias. (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.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
40. 40.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) ignore complaints (d) add varied examples

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